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Paper Citation Record · LEDGER

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety

As of 8 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2509.00624.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.00624 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:30:06.228759Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 107 outbound references displayed

  • verified exact42
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb4b75c8-58da-4ab9-82c8-7b0604f74e69 · outbound

This paper cites Geneva: World Health Organization, 2015.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Geneva: World Health Organization, 2015

Reference 1

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Observation 6833fbba-98d9-43b9-85a9-4aeace35a6a0 · outbound

This paper cites Investigating the Role of Roadway Environment in Driving Errors: An on Road Study,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Investigating the Role of Roadway Environment in Driving Errors: An on Road Study,

Reference 2

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doi, observed 2026-08-05T13:30:11.448925Z

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Observation f18e4cf8-861e-4e64-ab62-f715525626aa · outbound

This paper cites Relationship between Infrastructure, Driver Error, and Critical Incidents,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Relationship between Infrastructure, Driver Error, and Critical Incidents,

Reference 3

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source=pdf_text observed=2026-08-05T13:29:56.362913Z digest=sha256:17ade8df4b9bd5af02f6b4411a28d35105d45dfbd0ccc77ad7bfd2f98af885fa

Observation 1cf705c0-06ba-476d-8889-9ec363a3e44b · outbound

This paper cites State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey,

Reference 4

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source=pdf_text observed=2026-08-05T13:29:56.487985Z digest=sha256:f65ebd8857a2b0c89f876d31fb5d6aa0f825e25bb5f7c754f9166e545587286d

Observation 8c9ec8cc-10cb-49d0-b4da-a794db594a4b · outbound

This paper cites Review of tracking and object detection systems for advanced driver assistance and autonomous driving applications with focus on vulnerable road users sensing,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Review of tracking and object detection systems for advanced driver assistance and autonomous driving applications with focus on vulnerable road users sensing,

Reference 5

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Observation 43914a5b-84ad-4bca-a24c-4a5012af2b9b · outbound

This paper cites Predicting Pedestrian Crossing Intention With Feature Fusion and Spatio- Temporal Attention,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Predicting Pedestrian Crossing Intention With Feature Fusion and Spatio- Temporal Attention,

Reference 6

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source=pdf_text observed=2026-08-05T13:29:56.824857Z digest=sha256:fbe042a30435451650a23de7b5acd70d35853ab1b8fcfee9f9fde6d5043f3a7c

Observation 15e872ce-1483-48a4-a7d2-724c077c2dc7 · outbound

This paper cites Faraway- Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Faraway- Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion,

Reference 7

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source=pdf_text observed=2026-08-05T13:29:56.901841Z digest=sha256:7c4f74373e7cfb891821aa0eb2a9b80e50608bf8cc6792992be9987b949b9ed6

Observation c9d7633f-6bb8-4624-8867-e675ee7e8ca7 · outbound

This paper cites Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users,

Reference 8

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source=pdf_text observed=2026-08-05T13:29:57.070952Z digest=sha256:844f28a46fa6e72b72e80a35860bd697f3fb4c95b5dce5f6d7422e1a6850c421

Observation b2645136-2587-407a-8ec0-f11959ba4513 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 9

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source=pdf_text observed=2026-08-05T13:29:57.211261Z digest=sha256:00bd7675553d3f1389dc60f26d2fcf0b9ef28c596117884cd1c7a202846ffed8

Reference 10

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source=pdf_text observed=2026-08-05T13:29:57.312902Z digest=sha256:48cf65283ca57ade00ececab9923d13e83a497df77bbe629f18fc96755bad2fc

Observation 3807bf2c-3786-4935-8cb0-8c8e16f87197 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 11

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source=pdf_text observed=2026-08-05T13:29:57.381253Z digest=sha256:de96781794ba6da0355012a29f885acc72a53b7e5546a55607eca3aef188ac52

Observation c02ad9cf-a432-4de7-96de-5cb33af82b42 · outbound

This paper cites Sparse R-CNN: End-to-End Object Detection with Learnable Proposals.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Reference 12

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source=pdf_text observed=2026-08-05T13:29:57.475225Z digest=sha256:a9df12f4a9de6631db2e6196a13242bd4838e02f4b6f558983a6a87620052b51

Observation f1734c53-9135-4179-b252-b876e8e0a481 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety You Only Look Once: Unified, Real-Time Object Detection

Reference 13

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source=pdf_text observed=2026-08-05T13:29:57.553113Z digest=sha256:1b4e47d71361df7f90318c96ce231d0544ed5c322338a8d1a9651f82b28140d2

Observation 32fbba88-f787-4a97-a71d-36c7ca1d7642 · outbound

This paper cites YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In- Vehicle Camera,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In- Vehicle Camera,

Reference 14

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:57.628605Z digest=sha256:98a182ceb7f352bc480ab6b5f4d26c478f4cad3c5d40ed6974582dfab314cb38

Observation 34dc6592-7fed-48b3-9ec9-2143aca1e0e3 · outbound

This paper cites Laser Scanners for Driver-Assistance Systems in Intelligent 78 Vehicles [Applications of Control],.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Laser Scanners for Driver-Assistance Systems in Intelligent 78 Vehicles [Applications of Control],

Reference 15

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source=pdf_text observed=2026-08-05T13:29:57.776773Z digest=sha256:0108bdbe575005f24c1a7fec314341bb3adc3e30b0084fa1eda3276bcce7d0c1

Observation 56c58406-f8a4-4b37-a3e4-58141a2b5fa7 · outbound

This paper cites Lidar Data Analysis for Time to Headway Determination in the DriveSafe Project Field Tests,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Lidar Data Analysis for Time to Headway Determination in the DriveSafe Project Field Tests,

Reference 16

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source=pdf_text observed=2026-08-05T13:29:57.926412Z digest=sha256:3a0f21f7a596aef64405eb94ff62858c03f394048871a4a7e5294acaaffc4e74

Observation ba420e7d-5683-4cc5-b47f-30404cd9685c · outbound

This paper cites Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication,

Reference 17

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source=pdf_text observed=2026-08-05T13:29:58.041602Z digest=sha256:21249a39b07bd7698dee62585760ab8ce4fbf4dd11ba342e095231fa5dc9a0d7

Observation 75cd7003-5d18-4069-acf7-767e97f52236 · outbound

This paper cites PointPillars: Fast Encoders for Object Detection from Point Clouds.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety PointPillars: Fast Encoders for Object Detection from Point Clouds

Reference 18

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source=pdf_text observed=2026-08-05T13:29:58.184501Z digest=sha256:35229a1d074a7c0d0543a58fee25b524998e5b1fa83e739d860fbf5ed12972c5

Observation 5f5700c1-b2f4-49e6-9e97-f389b2de5cf3 · outbound

This paper cites CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Reference 19

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source=pdf_text observed=2026-08-05T13:29:58.311279Z digest=sha256:3f0ea35d74186ce7aae4d5516f55d13bbc145f1e53420db199cc65e552c1f9f4

Observation bdf18901-4db0-4676-b8b5-847d4fa27011 · outbound

This paper cites V2X Communication between Connected and Automated Vehicles (CA Vs) and Unmanned Aerial Vehicles (UA Vs),.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety V2X Communication between Connected and Automated Vehicles (CA Vs) and Unmanned Aerial Vehicles (UA Vs),

Reference 21

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source=pdf_text observed=2026-08-05T13:29:58.541081Z digest=sha256:7f296c5e77cf3e5044c17c36379816d95b19ebd333c9c17db649d7cf5918349c

Observation 8248518d-49ff-421c-be77-95820fdc0371 · outbound

This paper cites Visual Object Detection Based LiDAR Point Cloud Classification,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Visual Object Detection Based LiDAR Point Cloud Classification,

Reference 22

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source=pdf_text observed=2026-08-05T13:29:58.698135Z digest=sha256:592d24ab9de025ff9d3b4618b42b9c30a7d1d98a802d06d750c4d97cad8e1027

Observation 76de95d8-b593-43b3-aa2a-4d5123a48d4c · outbound

This paper cites 3D Object Detection Based on LiDAR Data,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety 3D Object Detection Based on LiDAR Data,

Reference 23

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source=pdf_text observed=2026-08-05T13:29:58.809414Z digest=sha256:da9d7c176a7848e309b2bf31cd86530547aa036c0af93ae9bd41dff8cd472cd9

Observation 1975784c-1ca5-40df-89d8-ece9fddf1a8d · outbound

This paper cites A LiDAR–Camera Fusion 3D Object Detection Algorithm,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A LiDAR–Camera Fusion 3D Object Detection Algorithm,

Reference 24

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source=pdf_text observed=2026-08-05T13:29:58.901317Z digest=sha256:a37bb263b4d8e63882e06241af5afe4c711b3047b8e7cf86d7fc2959ff2b1d1a

Observation 5f00942a-6996-4ed1-9f0b-4a63d8a4d4c0 · outbound

This paper cites LiDAR -Based Intensity- Aware Outdoor 3D Object Detection,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety LiDAR -Based Intensity- Aware Outdoor 3D Object Detection,

Reference 25

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source=pdf_text observed=2026-08-05T13:29:59.032663Z digest=sha256:3a7fd40a45892b81db312944d67e3e9de2e5737f9308cc164b2bd8e9b6a72ef4

Observation 31d27818-4e29-4f24-ab44-94fd66c8cad8 · outbound

This paper cites A Spatio -Temporal Graph Transformer Network for Multi -Pedestrain Trajectory Prediction | IEEE Conference Publication | IEEE Xplore.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Spatio -Temporal Graph Transformer Network for Multi -Pedestrain Trajectory Prediction | IEEE Conference Publication | IEEE Xplore

Reference 26

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source=pdf_text observed=2026-08-05T13:29:59.156487Z digest=sha256:a5f4f124ba1222a1b25b8043f0a118e8dad3a2ef869fbd173ad433827fb73f7b

Observation a3cf5e70-2203-4b23-9350-953932d0462c · outbound

This paper cites Jocher, A.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Jocher, A

Reference 27

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source=pdf_text observed=2026-08-05T13:29:59.272993Z digest=sha256:6b14690c0347a327351c7b3b76814ea10bc6f33376683973aac21a5c3a8b1607

Observation 3fffc165-96ad-4de5-81a3-189545eb5b3f · outbound

This paper cites CARLA - v20 carla_v20,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety CARLA - v20 carla_v20,

Reference 28

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source=pdf_text observed=2026-08-05T13:29:59.369595Z digest=sha256:afd76f34652b12ae4591bc815af509031ad6e8277e05ecdff87f383ba746dd7b

Observation 6396fb16-0b0c-4e06-b838-c898da0636a1 · outbound

This paper cites Guvenc, B.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Guvenc, B

Reference 29

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source=pdf_text observed=2026-08-05T13:29:59.466884Z digest=sha256:c79e99a6394df25bdcb75b99baf3c4aa1917813cc7ca0374718207925ffa815f

Observation a2fafad0-5998-4b28-9fad-cff2242a3df1 · outbound

This paper cites Disturbance Observer- Smith Predictor Compensation-Based Platoon Control with Estimation Deviation,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Disturbance Observer- Smith Predictor Compensation-Based Platoon Control with Estimation Deviation,

Reference 30

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:59.561668Z digest=sha256:0de04a58fadc7409f12a4a1700d115fe3a992b39c50979c47ad8fd6c8dbe4bca

Observation 29bc7f91-9b49-47b2-9358-feda2167f3d0 · outbound

This paper cites Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver,

Reference 31

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:59.693605Z digest=sha256:213037561a78f61fb021be9bb1ae6f24c15b206bfb17698bb70b4422b38e7e6d

Observation 89a9532b-c0b5-4fbb-85ac-04a6b9e7b197 · outbound

This paper cites Oscillatory Yaw Motion Control for Hydraulic Power Steering Articulated Vehicles Considering the Influence of Varying Bulk Modulus,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Oscillatory Yaw Motion Control for Hydraulic Power Steering Articulated Vehicles Considering the Influence of Varying Bulk Modulus,

Reference 32

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source=pdf_text observed=2026-08-05T13:29:59.812130Z digest=sha256:2e570992822a7a9131058ece87c4b225a0df8a45ca32c9debd9509457930a6a9

Observation 73b4fea1-9856-44d0-8bed-0f413c0c6f9a · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:59.935183Z digest=sha256:4cb77ab8c96d572a65933383168584f2e8a2e95673c295771f6cff0185978b61

Observation a958b574-c86f-4f78-ab9c-6ea0b5fa6d43 · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.069991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.069991Z digest=sha256:0495a1b69928561b8d57287dc410a6cf4cf1ad9b461209ce8b1f594783d474e8

Observation d9c6ecfe-7a37-4ea6-a454-45c6e3247ad6 · outbound

This paper cites Communication Disturbance Observer,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Communication Disturbance Observer,

Reference 35

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.944736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:00.173890Z digest=sha256:00f9fe1cdc65c8d5c3cbbfd2ad8021a14916ab3676fd769d375938445ed4ace5

Observation 87b56fb0-ff81-4c35-be9f-eb00dd4df3bd · outbound

This paper cites Multi-Objective Digital PID Controller Design in Parameter Space and its Application to Automated Path Following,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Multi-Objective Digital PID Controller Design in Parameter Space and its Application to Automated Path Following,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.293396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.293396Z digest=sha256:8b185f77f9041b2e86df9386ae1c2014b97a60e6bdd37f4c32eb2382c0f1eabc

Observation 0f448df9-6bcd-4177-884b-083008aa81bc · outbound

This paper cites Development and Evaluation of Path and Speed Profile Planning and Tracking Control for an Autonomous Shuttle Using a Realistic, Virtual Simulation Environment,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Development and Evaluation of Path and Speed Profile Planning and Tracking Control for an Autonomous Shuttle Using a Realistic, Virtual Simulation Environment,

Reference 37

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.866436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:00.384884Z digest=sha256:30af647f69c7883a5dee44f201455cc94e33c5308a6eef5474608a9c5d248a43

Observation e02f7811-9fe9-4be7-a595-c64e5f997132 · outbound

This paper cites Trajectory Planning of Autonomous Vehicles Based on Parameterized Control Optimization in Dynamic on-Road Environments,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Trajectory Planning of Autonomous Vehicles Based on Parameterized Control Optimization in Dynamic on-Road Environments,

Reference 38

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.667407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:00.488197Z digest=sha256:1273e9e35b46e4fd8ba59dd39cc0e09e96693ad70532842fc95d331ff67a0f07

Observation 056e4551-e7c0-40dd-97a0-3ce1b970f839 · outbound

This paper cites Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment,

Reference 39

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.435735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:00.606117Z digest=sha256:f70788dd619d861e537235e284ddac00db994cb0e3a1453e1964d092e3d08152

Observation 6db4fdda-7d29-482f-8722-50f7cb920e5e · outbound

This paper cites SmartShuttle: a unified, scalable and replicable approach to connected and automated driving in a smart city,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety SmartShuttle: a unified, scalable and replicable approach to connected and automated driving in a smart city,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.772812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.772812Z digest=sha256:85115d4db59263c470425e4ff0240e1a3cb6d1e82540101f75b63c6f8bce6950

Observation 12eca66c-d659-49a1-a9d6-7baa9ecbf21c · outbound

This paper cites Connected and Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Connected and Autonomous Vehicles,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:00.871418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:00.871418Z digest=sha256:74f71701a9233139f88abb6cb6894cce0e18d3621042a6eb2a2fa2b5be02918f

Observation db751db8-38bc-4244-9072-c21b5a5c506b · outbound

This paper cites Socially Acceptable Collision Avoidance System for Vulnerable Road Users,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Socially Acceptable Collision Avoidance System for Vulnerable Road Users,

Reference 42

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.236218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:01.004100Z digest=sha256:bfd24baba6a399d6181fdc5ac98161a0d0a00c0cff4a720916691ccc6506168a

Observation bb9d43f4-4e32-4b6f-b0de-e8361bb6774b · outbound

This paper cites General Obstacle Avoidance Capability Assessment for Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety General Obstacle Avoidance Capability Assessment for Autonomous Vehicles,

Reference 43

Resolution
verified exact
doi, observed 2026-08-05T13:30:10.119082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:01.106225Z digest=sha256:8a82295723cd60cc03b951ba39b05a30befd078e637927929fa22eed939c9abf

Observation 842df4d1-e56f-42e7-8ab5-0e5774358654 · outbound

This paper cites Autonomous Vehicle Emergency Obstacle Avoidance Maneuver Framework at Highway Speeds,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Vehicle Emergency Obstacle Avoidance Maneuver Framework at Highway Speeds,

Reference 44

Resolution
verified exact
doi, observed 2026-08-05T13:30:09.956312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:01.205930Z digest=sha256:32cfcd37970cdae7463e5662460c36ccc2ca9dbf76c17bbc6958fb6f1d7c7e9e

Observation 8e4ae3a8-d6b1-46b5-8da0-6921537e39b1 · outbound

This paper cites Vehicle -in-Virtual- Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Vehicle -in-Virtual- Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration,

Reference 46

Resolution
verified exact
doi, observed 2026-08-05T13:30:09.365845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:01.381101Z digest=sha256:35e7827744689350ab2c917b570391918d1730d2e24593da022b4e35e20936e5

Observation 23b1ee93-16d4-40d6-b7a9-5c6d1c90442b · outbound

This paper cites Control barrier function based quadratic programs with application to adaptive cruise control,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Control barrier function based quadratic programs with application to adaptive cruise control,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.497471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.497471Z digest=sha256:16c2bd59f7709d2cc3063231d8d5766fc97a3ebd6b941b0f2b140d47c962a163

Observation ef16c837-6797-4c1a-a69c-d78ceb4ebcef · outbound

This paper cites Control Barrier Function Based Quadratic Programs for Safety Critical Systems,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Control Barrier Function Based Quadratic Programs for Safety Critical Systems,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.642900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.642900Z digest=sha256:c61f2feb08b88939ceb4795329481791ffe8830eca596df40a19e182877396be

Observation 3134cc1a-365e-49d9-a1f1-bf01519cf04b · outbound

This paper cites Control Barrier Functions: Theory and Applications,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Control Barrier Functions: Theory and Applications,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.750291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.750291Z digest=sha256:f2b71c06f74ad2dfb0d46b45441394627cbcdd670311960637e94d01e8c6e160

Observation 48e882cc-b304-4237-afa6-ec3e8fa9aa8e · outbound

This paper cites Safety Barrier Certificates for Collisions -Free Multirobot Systems,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safety Barrier Certificates for Collisions -Free Multirobot Systems,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:01.909033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:01.909033Z digest=sha256:6249fff03b19c6bb5e0d443a29b39ecbe696c81f57f24f0460b47887671bd0c4

Observation b8b1d3fe-9bea-402b-a2f5-07e3e5ecd8c9 · outbound

This paper cites CLF-CBF Based Quadratic Programs for Safe Motion Control of Nonholonomic Mobile Robots in Presence of Moving Obstacles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety CLF-CBF Based Quadratic Programs for Safe Motion Control of Nonholonomic Mobile Robots in Presence of Moving Obstacles,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.011623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.011623Z digest=sha256:b77d9f5462120d428cd7dafe78667caa7bc002d9bfa27be57b10aaea6fd8fc48

Observation 29c74c01-fac3-4f7f-9e8c-db2b322c455e · outbound

This paper cites Safe Autonomous Multi-vehicle Navigation Using Path Following Control and Spline-Based Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safe Autonomous Multi-vehicle Navigation Using Path Following Control and Spline-Based Barrier Functions,

Reference 52

Resolution
malformed identifier
no resolver link, observed 2026-08-05T13:30:02.226836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.226836Z digest=sha256:bf38cf3f0a18bf53a2a6f9b0c838b06784b5936648e0664e1c62e18d3d739d20

Observation 006a2087-dab9-48d4-83ab-0e22d782ca6f · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.117673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.117673Z digest=sha256:43b45a262183c544e02c7a9d3ad1add01171384e3efcf932e441d45fc32f44bc

Observation 278395f4-2124-4874-9f1e-895dbaedfd2e · outbound

This paper cites Safety -Critical Path Planning of Autonomous Surface Vehicles Based on Rapidly-Exploring Random Tree Algorithm and High Order Control Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safety -Critical Path Planning of Autonomous Surface Vehicles Based on Rapidly-Exploring Random Tree Algorithm and High Order Control Barrier Functions,

Reference 54

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:30:13.313048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:02.486409Z digest=sha256:aa69c26e24424a4f78c711b6812efe65460314fe867439265794d82ffdbb6de3

Observation f4880724-18a8-4519-be54-160e9a531dd5 · outbound

This paper cites Sampling-based Motion Planning via Control Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Sampling-based Motion Planning via Control Barrier Functions,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.389942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.389942Z digest=sha256:8c600d9df8ac1c5a4dac7cca4d55476bef3f1093dad41b893901327522138ef9

Observation e7a7bb9f-6fd7-422b-9442-0c9f4736e117 · outbound

This paper cites Potential Game-Based Decision-Making for Autonomous Driving.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Potential Game-Based Decision-Making for Autonomous Driving

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:08.762833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:02.701863Z digest=sha256:fc749ef9587f9151ef681aaa89c821b7fda88f24b3afd3a6c8d6bf1952182317

Observation 7bae5381-8867-4585-a478-41822cfbfabb · outbound

This paper cites Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:09.091625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:02.589186Z digest=sha256:0eb6b1557c66d0577df5fd0591ba2e37656ea8049410c0daa0cef5f7f9ca8c88

Observation c6553f1f-c77d-4ec5-aaa7-92dbe8125330 · outbound

This paper cites Autonomous Vehicle Lane -Change Control Based on Model Predictive Control with Control Barrier Function,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Vehicle Lane -Change Control Based on Model Predictive Control with Control Barrier Function,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:02.861644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:02.861644Z digest=sha256:8b5e2ad0f5bccbd3c211605431509dc48eaef8e2de9edf02efb3e96de2c2ba43

Observation e179f6b7-8b59-4cfe-bd23-049a1cafca65 · outbound

This paper cites A Novel Online Safe Reinforcement Learning with Control Barrier Function Technique for Autonomous vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Novel Online Safe Reinforcement Learning with Control Barrier Function Technique for Autonomous vehicles,

Reference 59

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:30:13.207666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:02.784725Z digest=sha256:cae99e49f0b8d8fd1ae72e8bd44587395702dcd99425668ba760dbb86bfabe26

Observation 5d9a8a02-f79b-4d69-b25e-623a59e21494 · outbound

This paper cites High- Order Control Barrier Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety High- Order Control Barrier Functions,

Reference 60

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T13:30:12.986551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:03.116653Z digest=sha256:7a6b191ecc34699bda16e887200fe755324d10ee9719b24f79d1adb9af8d0cfc

Observation d053ebbb-25d8-4314-b063-093dd121f122 · outbound

This paper cites Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:08.483572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:02.988731Z digest=sha256:e326d18d04ea66df439bd6eeb937f4ea1f9f03f224ce2d7f9a6e12134951c638

Observation b3df0ce2-61fd-42ec-8eba-9c377a0aea13 · outbound

This paper cites Real time implementation of socially acceptable collision avoidance of a low speed autonomous shuttle using the elastic band method,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Real time implementation of socially acceptable collision avoidance of a low speed autonomous shuttle using the elastic band method,

Reference 62

Resolution
verified exact
doi, observed 2026-08-05T13:30:08.004630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:03.261602Z digest=sha256:adf996059764ab9b9bd0aae3ff06f2fe5d112d785c4e13a71fec6c1be119d541

Observation 4921a8ae-b94d-4447-966f-bfac7df8ee93 · outbound

This paper cites High-Order Control Lyapunov–Barrier Functions for Real-Time Optimal Control of Constrained Non- Affine Systems,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety High-Order Control Lyapunov–Barrier Functions for Real-Time Optimal Control of Constrained Non- Affine Systems,

Reference 63

Resolution
verified exact
doi, observed 2026-08-05T13:30:08.217977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:03.179579Z digest=sha256:e7f0a875e15f11ada4c4395f93e485553e507f5d007939640edb0bc26316417d

Observation f0e1d11a-418a-4a4a-b0a5-6c4ecfea507d · outbound

This paper cites Lunar Rover Collaborated Path Planning with Artificial Potential Field -Based Heuristic on Deep Reinforcement Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Lunar Rover Collaborated Path Planning with Artificial Potential Field -Based Heuristic on Deep Reinforcement Learning,

Reference 64

Resolution
verified exact
doi, observed 2026-08-05T13:30:07.917008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:03.485370Z digest=sha256:82857f5bc4d3cb053a555388033a7161b18a10e1d4ab0e2ea292722d78862132

Observation 06517b94-dfcb-4cf5-9ad8-a08aa5395f0a · outbound

This paper cites Development of a Collision Avoidance Algorithm Using Elastic Band Theory,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Development of a Collision Avoidance Algorithm Using Elastic Band Theory,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:03.368722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:03.368722Z digest=sha256:30a080b7307ad4fbb74299647a930cdc93fe6bc2ea2627a3f39bd556a45d84bb

Observation eb82c954-159e-4b82-8ebc-d66385290fda · outbound

This paper cites Path Planning and Robust Control of Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Path Planning and Robust Control of Autonomous Vehicles,

Reference 66

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:30:12.676574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:03.681021Z digest=sha256:955e00ff3438e2d26f42a8e5aec76fd4fb7455e3f0a7d41edf3e9cbb8efa61f8

Observation 10e16402-9ba2-4c93-97ad-369763ea613d · outbound

This paper cites Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines,

Reference 67

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source=pdf_text observed=2026-08-05T13:30:03.598803Z digest=sha256:4ffc5f5ac9c56d63bfdb465f40035217ec2480d47445b6dc099db7fb64bec13a

Observation 3e23992a-1d2f-469b-bc3a-ab721a6663cc · outbound

This paper cites Deep Reinforcement Learning for Autonomous Driving: A Survey,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep Reinforcement Learning for Autonomous Driving: A Survey,

Reference 68

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source=pdf_text observed=2026-08-05T13:30:03.837658Z digest=sha256:af8456d3d6b13eef150d66e0816cbf0fdf6e20f384c37f8fc4610e8a1d8539ea

Observation 42a8e186-2967-4b97-bc56-7f1619caaeaf · outbound

This paper cites Emergency Obstacle Avoidance Trajectory Planning Method of Intelligent Vehicles Based on Improved Hybrid A*,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Emergency Obstacle Avoidance Trajectory Planning Method of Intelligent Vehicles Based on Improved Hybrid A*,

Reference 69

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:03.765644Z digest=sha256:3774c5fec6e2386c608e575faf89ac049d58fc12be9ce9ef2069581198bbd5e3

Observation 9eaf0fb2-9997-47f5-a658-b0fbda7476bb · outbound

This paper cites A Survey of Deep RL and IL for Autonomous Driving Policy Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Survey of Deep RL and IL for Autonomous Driving Policy Learning,

Reference 70

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raw_fallback, observed 2026-08-05T13:30:12.326511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.038441Z digest=sha256:9f1381bab3abe1b3290a48698d123d39b29d4c3a264315a31df924b7a3c0bfdc

Observation cd713a4d-b6da-4fa9-af48-f74b0384b4d7 · outbound

This paper cites A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles,

Reference 71

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source=pdf_text observed=2026-08-05T13:30:03.955924Z digest=sha256:298aeaccbf757080057ca56b8909770a1405e3ed74b532b5167817e3077b523c

Observation 04a88edd-3ba2-41a0-afcc-ba713b886e53 · outbound

This paper cites Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving

Reference 72

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source=pdf_text observed=2026-08-05T13:30:04.228896Z digest=sha256:44c6a93f56f7ce614bd397c5f6082db9b7ef8b02ae55f2ca2840d317bbc7b2d1

Reference 73

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verified exact
local_arxiv, observed 2026-08-05T13:30:07.785852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.134957Z digest=sha256:fb94278f6db31fde36b5e15f063627d19b7a5557c7e44af23f040d057bf8450b

Observation 51213373-1599-4718-9d74-01072a645564 · outbound

This paper cites Deep reinforcement‐learning‐based driving policy for autonomous road vehicles - Makantasis - 2020 - IET Intelligent Transport Systems - Wiley Online Library.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep reinforcement‐learning‐based driving policy for autonomous road vehicles - Makantasis - 2020 - IET Intelligent Transport Systems - Wiley Online Library

Reference 74

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raw_fallback, observed 2026-08-05T13:30:12.183866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.399513Z digest=sha256:08b280fa5cd2379d6c17defb2d9da5e7dccaf9244688e2b0598c98ab9aaf30c3

Observation 537cdfa3-3213-4b55-8f13-6064fa975acb · outbound

This paper cites A Safety-Critical Decision-Making and Control Framework Combining Machine-Learning-Based and Rule-Based Algorithms,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Safety-Critical Decision-Making and Control Framework Combining Machine-Learning-Based and Rule-Based Algorithms,

Reference 75

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doi, observed 2026-08-05T13:30:07.685672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.315462Z digest=sha256:7e7d54930300ae4c58224db2b9c791eb218edaa55ec33d7c7df8b6ed043cf74d

Observation 0981aee7-aaf8-49b3-8d6d-59f9de4b3515 · outbound

This paper cites Autonomous Highway Driving using Deep Reinforcement Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Highway Driving using Deep Reinforcement Learning,

Reference 76

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raw_fallback, observed 2026-08-05T13:30:12.066374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.600617Z digest=sha256:4e8d64d256aeeed7fbd1f51c4a79cea3b919dee61dca7df34f99d96a0b4ab929

Observation 05aea908-b12c-4960-9bec-e131112377b7 · outbound

This paper cites Reinforced Damage Minimization in Critical Events for Self-driving Vehicles:,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Reinforced Damage Minimization in Critical Events for Self-driving Vehicles:,

Reference 77

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doi, observed 2026-08-05T13:30:07.615899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.508397Z digest=sha256:792317f91dbef02fe5a2cc1a4d6c9b48853a99d09454df9701302acfc763932e

Observation c6c24c1e-41cd-4ab3-8fb4-5b061f13930f · outbound

This paper cites Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Reference 78

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verified exact
local_arxiv, observed 2026-08-05T13:30:07.481287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.694843Z digest=sha256:dfec4244d9a4eeacae17be8c3dd9a1a3444a730cc2a019c3f03a47c0936bd959

Observation 6c3f1b94-c2e2-4457-b1a5-173c0915c04c · outbound

This paper cites End- to-End Autonomous Driving Through Dueling Double Deep Q - Network,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety End- to-End Autonomous Driving Through Dueling Double Deep Q - Network,

Reference 79

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malformed identifier
doi_truncated, observed 2026-08-05T13:30:07.550282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.658903Z digest=sha256:e0acc50a41bc19c222971d248af1c5a097f04cb03a2ecae2865ccb13eb22dadd

Observation 5cbbc5f8-d502-4e96-b7b7-1f28a623684f · outbound

This paper cites Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance,

Reference 80

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verified exact
doi, observed 2026-08-05T13:30:07.322406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.855362Z digest=sha256:c43344eb866a348749b0d53eb5f30b021c956560baf7192b2f594a2b848a58d7

Observation 1bc9d875-d901-4bf8-bc4d-89e849ac7aa8 · outbound

This paper cites End-to-End Race Driving with Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety End-to-End Race Driving with Deep Reinforcement Learning

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:30:07.406597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.790071Z digest=sha256:16957315d9008de3b7a2a2c3206c19f5a0ca179867a56d893b5c4dfbebc785f0

Observation e79abd1b-856f-4fe5-a742-4eb53f3a9aec · outbound

This paper cites Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning

Reference 82

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verified exact
local_arxiv, observed 2026-08-05T13:30:07.242762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:05.082360Z digest=sha256:8165cf1dc8ff6c36e98b727e2cc657a5e4c886178fc8465c7c177828e3068099

Observation e43ef6c1-bb56-48d0-b55f-89f55eb7e7ec · outbound

This paper cites Deep Reinforcement Learning-Based Driving Strategy for Avoidance of Chain Collisions and Its Safety Efficiency Analysis in Autonomous Vehicles,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep Reinforcement Learning-Based Driving Strategy for Avoidance of Chain Collisions and Its Safety Efficiency Analysis in Autonomous Vehicles,

Reference 83

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raw_fallback, observed 2026-08-05T13:30:11.956195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:04.966629Z digest=sha256:9db7824ffa90b716c716f5bb5205eb751266f9f5488ae613d047ab90c6b2b520

Observation 7e03efcf-6d7b-440a-ade3-75222339f5e3 · outbound

This paper cites Deep -Reinforcement-Learning- Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep -Reinforcement-Learning- Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety,

Reference 84

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doi, observed 2026-08-05T13:30:09.627137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:05.262749Z digest=sha256:09d7555363eb687dd14df9eb4763ac762c7a5e1c0704bfbb621ce678d05ceee5

Observation 174d3db6-a780-476c-aa48-c7690648aeda · outbound

This paper cites an unresolved cited work.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Unresolved cited work

Reference 85

Resolution
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doi, observed 2026-08-05T13:30:07.171951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:05.169449Z digest=sha256:6e2edac0a2a7488392c51f656f35b9ebf04b1d13460ea03e3d379bba1c39849a

Observation da12a763-0931-4a73-8e70-5107699c940f · outbound

This paper cites Optimization of On- Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Optimization of On- Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning,

Reference 86

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doi, observed 2026-08-05T13:30:06.905924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:05.459172Z digest=sha256:30e8276ea9fb4b62b6d83b4d0f28ab5f907e01e2d23b625e41a938731894de27

Observation f08214d2-892d-41a2-88ac-3124d5abba0f · outbound

This paper cites Contact -Aware Safety in Soft Robots Using High- Order Control Barrier and Lyapunov Functions,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Contact -Aware Safety in Soft Robots Using High- Order Control Barrier and Lyapunov Functions,

Reference 87

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doi, observed 2026-08-05T13:30:07.079735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:05.357376Z digest=sha256:b1e25d8af6ef1430c6288c61d1ab878cfa6e8c507b1cd676c7582d70f421f28c

Observation f66b05e1-9094-4e7d-b581-2a2e363224fe · outbound

This paper cites Q-learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Q-learning,

Reference 88

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no resolver link, observed 2026-08-05T13:30:05.633646Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.633646Z digest=sha256:3d783e91df6def1642d383d4bafa9d67112a746b52f221bcc13e00772f3797db

Observation 3686d57f-0b1d-4974-8ab4-cb6828ed269b · outbound

This paper cites Autonomous Vehicle Decision- Making with Policy Prediction for Handling a Round Intersection,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Autonomous Vehicle Decision- Making with Policy Prediction for Handling a Round Intersection,

Reference 89

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doi, observed 2026-08-05T13:30:06.828401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:30:05.584031Z digest=sha256:d9dda29ef4ba372f03ad4d9fc9bebe730aea015c1781c5470767a05e084fcf4b

Observation 951df8c2-d057-431d-a50c-7ad071f500a1 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Human-level control through deep reinforcement learning,

Reference 90

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no resolver link, observed 2026-08-05T13:30:05.719153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.719153Z digest=sha256:89ffea1e0c49b4eeabe7c073d743d189169c69111fda260c03dc7e1ecb71a0cf

Observation 728e3bd0-f947-44dc-9fe5-af05fa94553c · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Playing Atari with Deep Reinforcement Learning

Reference 91

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no resolver link, observed 2026-08-05T13:30:05.683118Z

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source=pdf_text observed=2026-08-05T13:30:05.683118Z digest=sha256:8a4cc296ab3418cf9d5c38aa357b6bb9a514a69785f7e43d3ecb6e1b88c0dd86

Observation d9d45893-440d-4930-bb0b-7b4c117ebc31 · outbound

This paper cites Dueling Network Architectures for Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Dueling Network Architectures for Deep Reinforcement Learning

Reference 92

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no resolver link, observed 2026-08-05T13:30:05.836139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.836139Z digest=sha256:c24a945312076a252c6a63d396e0b071aafc216b21ab68413da88be6a156bae8

Observation d15de7d6-296b-4e10-ba06-ebe256046c7b · outbound

This paper cites Deep Reinforcement Learning with Double Q-learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep Reinforcement Learning with Double Q-learning

Reference 93

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.776137Z digest=sha256:5504ea8aa3cd97cbae1e87ccfe7b42d0f0e0cb27d2b91b20eab0cf4ab2477f8c

Observation a45bad1d-7522-44ec-b6ea-25bcc8f6ee1e · outbound

This paper cites Policy Gradient Methods for Reinforcement Learning with Function Approximation,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Policy Gradient Methods for Reinforcement Learning with Function Approximation,

Reference 94

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:30:05.918771Z digest=sha256:edeb58c507230cf0bd6f8809b9e2e177279caa1bddcf8dbebc2b4131fbb0d5ca

Observation 8cebd191-4837-46d6-9dfd-c9c94f2fc97a · outbound

This paper cites Simple statistical gradient- following algorithms for connectionist reinforcement learning,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Simple statistical gradient- following algorithms for connectionist reinforcement learning,

Reference 95

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no resolver link, observed 2026-08-05T13:30:05.879673Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:30:05.879673Z digest=sha256:7c698c1300c139730b3faf5d3531d3e1d1a977086709bbfa95bf82ba4782e35d

Reference 96

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no resolver link, observed 2026-08-05T13:30:06.028275Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:30:06.028275Z digest=sha256:6289349daf2a445f157f3fc3c0c440bd50f50a0b0b868183030e660207e77ae5

Observation 5c76b908-f463-42d1-9255-92feef361b61 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Asynchronous Methods for Deep Reinforcement Learning

Reference 97

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no resolver link, observed 2026-08-05T13:30:05.954112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:05.954112Z digest=sha256:70919a67fbecc3b7819b4a6c8fa1d387c6326d112e345e50eca650f213479bc4

Observation 08e40889-e487-4297-9dbf-b764e800224b · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 98

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no resolver link, observed 2026-08-05T13:30:06.100258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.100258Z digest=sha256:2b79fc3e9a232971873d2f6e424eaddb689f397ed96cb0a866163d745808417a

Observation ea73c508-e5ec-4fc6-b72e-349bf1a6f962 · outbound

This paper cites Continuous control with deep reinforcement learning.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Continuous control with deep reinforcement learning

Reference 99

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no resolver link, observed 2026-08-05T13:30:06.063170Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.063170Z digest=sha256:bf8770a12586c8d3f818cae080e319f5d01269842cb9707a988804c3d2a751e1

Observation 1448a9a2-f76a-473e-b3c0-4dcc8413de0b · outbound

This paper cites Leurent, An Environment for Autonomous Driving Decision- Making.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Leurent, An Environment for Autonomous Driving Decision- Making

Reference 100

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no resolver link, observed 2026-08-05T13:30:06.174505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.174505Z digest=sha256:0f80275dcde77913177c1d9dc0bb07e47ec3c409c6418ed9caf02ccd30683ae1

Observation 1c5a5c76-4e37-4e54-8173-a6c83a95a1e9 · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Addressing Function Approximation Error in Actor-Critic Methods

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:06.137532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.137532Z digest=sha256:9c64bfe73c3c92080518a6836c5c6d527640e6bc1ab66ba3a8b3635badcaf265

Observation 0772ada3-8da4-45a7-8516-3cb8bfe3c6cc · outbound

This paper cites A Novel Integrated Simulation and Testing 84 Platform for Self-Driving Cars With Hardware in the Loop,.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety A Novel Integrated Simulation and Testing 84 Platform for Self-Driving Cars With Hardware in the Loop,

Reference 102

Resolution
malformed identifier
no resolver link, observed 2026-08-05T13:30:06.228759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:06.228759Z digest=sha256:fc7334a929ef247ce336f548833bcdb1a81243e6eed86cd818562ba662999436

Pith citing papers

No inbound Pith citation observations are available.