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

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

Resolution: verified exact; 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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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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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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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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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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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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:57.211261Z

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Observation 5670e2be-00e9-4a74-bfd4-d404c7d0a82c · outbound

This paper cites Fast R-CNN.

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

Reference 10

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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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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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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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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

Resolution: verified exact; doi, observed 2026-08-05T13:30:11.267712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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

Resolution: verified exact; doi, observed 2026-08-05T13:30:11.242660Z

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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

Resolution: verified exact; doi, observed 2026-08-05T13:30:11.207443Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:58.184501Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:30:11.157634Z

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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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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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:58.698135Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:58.809414Z

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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

Resolution: verified exact; doi, observed 2026-08-05T13:30:11.077861Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; doi, observed 2026-08-05T13:30:11.051920Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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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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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:59.369595Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:59.466884Z

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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

Resolution: verified exact; doi, observed 2026-08-05T13:30:11.024740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; doi, observed 2026-08-05T13:30:10.993989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:59.935183Z

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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

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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 2026-08-16T06:30:59.297886+00:00.

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

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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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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

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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

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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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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

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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.

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.

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.

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.

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.

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.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: malformed identifier; no resolver link, observed 2026-08-05T13:30:03.598803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:30:03.837658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; doi, observed 2026-08-05T13:30:07.838321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

Resolution: metadata mismatch; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:30:03.955924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:30:04.228896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ca77cb-f526-4a07-81fb-d5dacc9ce777 · outbound

This paper cites Learning to Drive in a Day.

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

Reference 73

Resolution: 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: metadata mismatch; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: 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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: metadata mismatch; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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

Resolution: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-16T06:30:59.297886+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:30:05.776137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T13:30:05.918771Z

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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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Observation 2d2746ac-5fe8-486a-a01c-e4b5b1c5be5c · outbound

This paper cites Proximal Policy Optimization Algorithms.

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

Reference 96

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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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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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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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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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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

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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

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