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Paper Citation Record · LEDGER

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2411.18974.

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

pith.paper-citation-record.v1
2411.18974 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:46:46.880351Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:38:30.553006Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T04:38:31.088004Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5895c4d1-989f-448e-8513-62fcadfb6055 · outbound

This paper cites Milestones in autonomous driving and intelligent vehicles: Survey of surveys,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Milestones in autonomous driving and intelligent vehicles: Survey of surveys,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.652443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.630186Z digest=sha256:7514f38c4626969c157f12a3bd785c0bdc2a4ea25cc94aab3009e83ccf45cc57

Observation e47d30cf-0511-4ae9-8db3-72e541638393 · outbound

This paper cites Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.637327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.635646Z digest=sha256:ebefd62d7091fcaee5c7fc8e3823db9e6f9cb4e70c0d389a47c21614cd8e924c

Observation 48245df7-2ee5-4d00-bd93-56f1efe670e1 · outbound

This paper cites A review of motion planning for highway autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A review of motion planning for highway autonomous driving,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.640578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 69a19d5b-0d33-46c0-b311-3d292091f0e0 · outbound

This paper cites Motion planning for autonomous driving: The state of the art and future perspectives,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Motion planning for autonomous driving: The state of the art and future perspectives,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.610420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.645990Z digest=sha256:81fc5a62eafcfd4f897d92ea7ecc5fc1f73abe836541a1a9fad6b9c74c2578ca

Observation 9ffb8e61-c7a0-4fd9-a48b-0bcd4d4e89be · outbound

This paper cites Ensuring safety of learning-based motion planners using control barrier functions,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Ensuring safety of learning-based motion planners using control barrier functions,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.594374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.650646Z digest=sha256:46fa37d44c750eeed1a5c3ce664a44e47644af664cbf9d67edbe99aebfe2b9aa

Observation 5e9d59e4-de53-49b0-98c5-43c3e21fba09 · outbound

This paper cites Security-based resilient triggered output feedback lane keeping control for human– machine cooperative steering intelligent heavy truck under denial-of- service attacks,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Security-based resilient triggered output feedback lane keeping control for human– machine cooperative steering intelligent heavy truck under denial-of- service attacks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.578838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.655467Z digest=sha256:16ed1b6c3dd22ef50e7fd45a94ae18c0bd3ad4889c600acdd30b880f0850bded

Observation d19680d0-06e9-4a13-ab9a-f782e3d4485f · outbound

This paper cites A lidar- openstreetmap matching method for vehicle global position initialization based on boundary directional feature extraction,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A lidar- openstreetmap matching method for vehicle global position initialization based on boundary directional feature extraction,

Reference 7

Resolution
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raw_fallback, observed 2026-08-12T10:46:47.563500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.660784Z digest=sha256:5cc47926d55330ea9af7782464f3c5e0e8f50b85fd52334569667f2331d6ff22

Observation bf9d03d7-99ac-4567-9cb0-5f989eff392d · outbound

This paper cites Real-time parallel trajectory optimization with spatiotemporal safety constraints for autonomous driving in congested traffic,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Real-time parallel trajectory optimization with spatiotemporal safety constraints for autonomous driving in congested traffic,

Reference 8

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raw_fallback, observed 2026-08-12T10:46:47.548060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.665548Z digest=sha256:1fb56e03bfea297f342ea2112802e1ab19d7d6173e7d15704193688a08b88faa

Observation 4ce0b4c8-4d98-47cc-a020-76eb1b138490 · outbound

This paper cites Interaction-aware decision-making for automated vehicles using social value orientation,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Interaction-aware decision-making for automated vehicles using social value orientation,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.670039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.670039Z digest=sha256:563904fed80004f75f7a0680a2953bf9fdabdac410394c26cc8d7af94fc884fa

Observation 9679d2f2-5236-4449-bdf0-e95716223ffe · outbound

This paper cites Cooperative decision making of connected automated vehicles at multi-lane merging zone: A coalitional game approach,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Cooperative decision making of connected automated vehicles at multi-lane merging zone: A coalitional game approach,

Reference 10

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no resolver link, observed 2026-08-12T10:46:46.674911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.674911Z digest=sha256:4302039dcb5db9de1646ee18eea86bfbcd53029742ec7d0456ec9087f53134f6

Observation d79209db-5e72-433c-a217-29a646b1d989 · outbound

This paper cites Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.513747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.680660Z digest=sha256:206d2e1a69af88d08e2c6094ae0f92ef01b074cbae1bb4ab79e4c5c7a8dab489

Observation c2e5c54d-5a2d-42ce-8154-7da4423f997b · outbound

This paper cites A survey of autonomous driving: Common practices and emerging technologies,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A survey of autonomous driving: Common practices and emerging technologies,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.685343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.685343Z digest=sha256:53fd3eb626a96529c1a09c4627b023200aebd1ba8f83cfe4a848b3ddf89d4a4c

Observation 33fb47a7-0bb6-46b9-b54f-e37256ee3955 · outbound

This paper cites Jointly learnable behavior and trajectory planning for self-driving vehicles,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Jointly learnable behavior and trajectory planning for self-driving vehicles,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.489048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.690002Z digest=sha256:f4863095ca10980b500a5b718d442d36c456193bc5b919b541a41ff17d55c1c8

Observation 7d3bc149-2149-438d-a5a7-1f11c13a9563 · outbound

This paper cites Planning-oriented autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Planning-oriented autonomous driving,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.694538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.694538Z digest=sha256:c28cdcacfb8b40c574bb2ce432607cf31982b10a444e77ed481291087cbcb743

Observation 3de5ea8e-0326-4761-a1ac-3a36fb3cd6c1 · outbound

This paper cites A Universal Cooperative Decision-Making Framework for Connected Autonomous Vehicles with Generic Road Topologies.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A Universal Cooperative Decision-Making Framework for Connected Autonomous Vehicles with Generic Road Topologies

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:46:47.020269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.698908Z digest=sha256:86b240eb06e14f94cf1947bcbf315292454705b71f393b2a89387ff5ccabb0ca

Observation 78272a61-4482-4019-a8ba-ad27dcb9bb9b · outbound

This paper cites On the computational complexity of integer programming problems,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles On the computational complexity of integer programming problems,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.462620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.704821Z digest=sha256:85fe7342d7cb7e5955aa614917bd7aa8d50d118c95b502c3eb061a0a8e912cff

Observation 0063a093-0f2f-4e1d-ac13-a2b91c6aa332 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A survey of motion planning and control techniques for self-driving urban vehicles,

Reference 17

Resolution
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no resolver link, observed 2026-08-12T10:46:46.710083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.710083Z digest=sha256:9cd7d07a8fb7d3feb33254d915a5bba0c21d14c7b90c7df1ab40a0be9544bd05

Observation ba45593d-fe96-45ad-8ac4-855f6cffb744 · outbound

This paper cites Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.437743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.714545Z digest=sha256:7639700b400d7608a7f7dbb57431f52996416872330863b81e9ce2dc8a04490f

Observation 6ed8fa4a-66f1-4bc4-8c7a-248feb952acb · outbound

This paper cites Chance-aware lane change with high-level model predictive control through curriculum reinforcement learning,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Chance-aware lane change with high-level model predictive control through curriculum reinforcement learning,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.422787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.719250Z digest=sha256:4b43e3a9ebcabc0db0a6f18b3ba046780fb2106683ef1e8017d1f226627a4837

Observation 29a40bab-81eb-4148-9b20-9185ada9f877 · outbound

This paper cites MPDM: Multipolicy decision-making in dynamic, uncertain environments for autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles MPDM: Multipolicy decision-making in dynamic, uncertain environments for autonomous driving,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.407206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.724164Z digest=sha256:d7c238fc899c25ba6c907316e0daaddf15d1aff2ed00255ac30e99c5d0353d20

Observation a9204d29-0a80-499c-acc9-30e6a53fe4ea · outbound

This paper cites Baidu Apollo EM Motion Planner.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Baidu Apollo EM Motion Planner

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.729008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.729008Z digest=sha256:814acff5df2216f1cbe0ed998634904b8be68be268771d6bf0f37b5d1c69e1e3

Observation 3d8fe256-fa08-44e0-8dac-41c0b1013dcd · outbound

This paper cites Search- based optimal motion planning for automated driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Search- based optimal motion planning for automated driving,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.392204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.733783Z digest=sha256:7c9e66a225638dea26d0d83f4169509c6160e932b07100c9d60f88e70baec8b3

Observation 727c8698-71dc-45cd-8067-573417cfa0c2 · outbound

This paper cites Efficient sampling-based motion planning for on-road autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Efficient sampling-based motion planning for on-road autonomous driving,

Reference 23

Resolution
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no resolver link, observed 2026-08-12T10:46:46.738118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.738118Z digest=sha256:db5b9b4984e1a7493e7dec24eb441d40833b179b14127274d3723524010d7d93

Observation f2e93c3e-cbea-4816-adc1-713cd2002f17 · outbound

This paper cites Autonomous driving motion plan- ning with constrained iterative LQR,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Autonomous driving motion plan- ning with constrained iterative LQR,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.742648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.742648Z digest=sha256:8d3aed3217794075847d6ccf14de223f63efd286e2379d2784fe3ca99f9e39ea

Observation 276fa717-651b-4556-a1fb-db7883798cf5 · outbound

This paper cites A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.357879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.747403Z digest=sha256:c90e0e173b68fc302fac557446e66cf98bee9b389e359d66de8d29c7004def9e

Observation f2f8ab4c-42e9-40b1-87ad-6f8c6e8d80df · outbound

This paper cites End to End Learning for Self-Driving Cars.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles End to End Learning for Self-Driving Cars

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.751652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.751652Z digest=sha256:dad417378a843e5dc3db47b7359e51a76de7a130514c6fb46ea2b3456c16c57b

Observation bd026adf-edfc-4634-bc15-afd3efa462d9 · outbound

This paper cites End- to-end driving via conditional imitation learning,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles End- to-end driving via conditional imitation learning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.342623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.756358Z digest=sha256:2edbb442d605494582c09ed6f53f7757cde10bf161c1c962ec829464c6718321

Observation 44b09492-f9ef-4ec9-909d-efd0be17d41c · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.761138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.761138Z digest=sha256:64bfc332e53e7a6a3f109b482526d12bb3b1a1590834c7df68f4d09c758d8a57

Observation 7f254375-0769-42e6-ba7e-345120e3a15e · outbound

This paper cites Computation of solution spaces for optimization-based trajectory planning,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Computation of solution spaces for optimization-based trajectory planning,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.765900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.765900Z digest=sha256:225207cc629a261fcb490c9ec277b727eac2a4daf35d97138d6a83f238db901c

Observation 517cff9f-96d3-420a-8b82-32eef4369559 · outbound

This paper cites Continuous decision making for on-road autonomous driving under uncertain and interactive environments,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Continuous decision making for on-road autonomous driving under uncertain and interactive environments,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.317691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.770177Z digest=sha256:07226169293a7fed9a1358063643c867fab43dbbfdb510e1ad5b70b406329d60

Observation 41020e0f-8138-4171-8ec4-59f3051498d2 · outbound

This paper cites A generic driving strategy for urban environments,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A generic driving strategy for urban environments,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.301576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.775778Z digest=sha256:59605e98bb94e5d5ac356d67ef67a987c2f7055c9463ee810af4e268b7ee481e

Observation 5f07361d-d62b-4562-b22b-f30e97aea870 · outbound

This paper cites Predictive maneuver planning for an autonomous vehicle in public highway traffic,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Predictive maneuver planning for an autonomous vehicle in public highway traffic,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.286280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.780677Z digest=sha256:acf2100c7b3cfcf36c319cd47b6b31db0a6961be0b62dcd9ec29233b5b7fe162

Observation ff557708-c0fb-4d46-8780-4933e2992a3a · outbound

This paper cites Path planning for autonomous vehicles using model predictive control,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Path planning for autonomous vehicles using model predictive control,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.270556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.785974Z digest=sha256:02ff6b285b777b80d636f40475b22994a899b22712db82fd28578e190555a382

Observation 71805660-e512-4d7e-90d4-fb2cb140ad6c · outbound

This paper cites Branch and bound methods,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Branch and bound methods,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.790501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.790501Z digest=sha256:2d21fed5303a526366ec40e69d632af75ef358f115b46bd916aa96d479c4b6c8

Observation 51817a3f-c882-45f6-81e1-cbbf6d93be7e · outbound

This paper cites Optimal trajectory planning for autonomous driving integrating logical constraints: An MIQP perspective,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Optimal trajectory planning for autonomous driving integrating logical constraints: An MIQP perspective,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.795098Z digest=sha256:57caab1f02c38bd930ad368dcccdd6fe41e52acf10f7dc38f56fd2bc87392368

Observation 05ceff33-c8b2-48f4-bf3e-90411f05ae7f · outbound

This paper cites Optimal behavior planning for au- tonomous driving: A generic mixed-integer formulation,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Optimal behavior planning for au- tonomous driving: A generic mixed-integer formulation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.228507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.800721Z digest=sha256:c82b1e09a012dc2ef929e5704bbf930607a879d1aeb76fc1c436ee7408487730

Observation 8e084b13-a556-4e82-a68f-b3974b847b0c · outbound

This paper cites Infusing reachability-based safety into planning and control for multi-agent interactions,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Infusing reachability-based safety into planning and control for multi-agent interactions,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.209880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.805672Z digest=sha256:495ced2b6670025a16813948b4beba9e946a7c4506efd7698923be3b9d974e79

Observation b9520ac5-4e61-4935-94e8-50308754aa22 · outbound

This paper cites A MPC combined decision making and trajectory planning for autonomous vehicle collision avoid- ance,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A MPC combined decision making and trajectory planning for autonomous vehicle collision avoid- ance,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.193495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.811918Z digest=sha256:bed793f06690ca63c9f50e9f733c9e64598c59316fb68eb00d6a8bfbca801b40

Observation 045aeed6-c787-4d63-b8b6-bbbcfeb393c4 · outbound

This paper cites An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.177599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.816787Z digest=sha256:7fa75e8fc3a067140ca4225872b73ebd53712d100632661a7fdc3b780f2e2367

Observation 56453b9f-55b2-41c8-b11b-83e413174881 · outbound

This paper cites Hierarchical game-theoretic planning for autonomous vehicles,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Hierarchical game-theoretic planning for autonomous vehicles,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.161365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.821492Z digest=sha256:7826446c11911a491ae4adefad3b4d2a558204ea23754d44ad840f9ca8cd7e29

Observation 8a2f3b4d-993e-487d-a3ac-98506cc5df67 · outbound

This paper cites Receding horizon planning with rule hierarchies for autonomous vehi- cles,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Receding horizon planning with rule hierarchies for autonomous vehi- cles,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.145140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.826089Z digest=sha256:3d51abc15f200a68617ad50dde1a5c758ee13192573f50d564212ae023c0fd4a

Observation fa786707-f71c-4fd8-853b-ebbc6cc8766b · outbound

This paper cites A two- stage optimization-based motion planner for safe urban driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles A two- stage optimization-based motion planner for safe urban driving,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.830569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.830569Z digest=sha256:6d92b4903a51e1fdb1689e1c9e2379d15bd85e8b151dbfaf4e6b4e4b971fcc7c

Observation e795777e-50ea-4196-996f-06d85c1dad8e · outbound

This paper cites Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:46:46.944590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.835395Z digest=sha256:6add869701164b65be3b54f3d5114f941ea5124e4d3e380ea4251b0052bf6f71

Observation e8a0369d-8a59-42f7-97b8-d3566e1defad · outbound

This paper cites Improved consen- sus ADMM for cooperative motion planning of large-scale connected autonomous vehicles with limited communication,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Improved consen- sus ADMM for cooperative motion planning of large-scale connected autonomous vehicles with limited communication,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.841120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.841120Z digest=sha256:33359c01d0bd33af0be24f88781ea6a41397ba9874d64e09cdd24d2c7e485b04

Observation c3a6df75-7c15-47eb-b8af-19f94b9f3065 · outbound

This paper cites Alternat- ing direction method of multipliers for constrained iterative LQR in autonomous driving,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Alternat- ing direction method of multipliers for constrained iterative LQR in autonomous driving,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.845865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.845865Z digest=sha256:40081346c26c747e562b487d32c5c493cf8209ef64d2bbb1d1adf6d253f82d58

Observation ae42a4ff-1740-4db8-970e-053583c85c52 · outbound

This paper cites Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.850715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.850715Z digest=sha256:4fcc775512fa8af482a54522bacc5af31c57d4890186cc2ab19848e8e4c01646

Observation 7792776b-a6c2-4098-9584-7e41c1a36416 · outbound

This paper cites Human-like deci- sion making for autonomous driving: A noncooperative game theoretic approach,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Human-like deci- sion making for autonomous driving: A noncooperative game theoretic approach,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.855569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.855569Z digest=sha256:281e15276c279c9b25e918cefad7a9841e23e6bf458653961566e0fc7ef72d9f

Observation 5333fafc-ce07-4f0c-9114-581e7a619048 · outbound

This paper cites an unresolved cited work.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:46:47.086660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.860054Z digest=sha256:f6e79acf465128ecf9548741cbd63cc81b1ba210cd7f61eb6afa45cb5e99e82d

Observation 819031d3-94ee-4399-97cd-616b7f7c5245 · outbound

This paper cites Gurobi Optimizer Reference Manual,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Gurobi Optimizer Reference Manual,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.865448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.865448Z digest=sha256:aaa33b5b0086d7ed308298e93a0257efc34120502484d74a4466a3d8a605051a

Observation 5e3df4d5-67c9-4578-b9c9-eaa4475fa6b9 · outbound

This paper cites CARLA: An open urban driving simulator,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles CARLA: An open urban driving simulator,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.875098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.875098Z digest=sha256:5a4e5139ea7910b792aad041de39108c0f7650411e49c7ea108728e0c4820b1d

Observation 0cf8de81-02c8-44a1-bb2d-5db7b04bfefe · outbound

This paper cites An integrated decision and motion planning framework for automated driving on highway,.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles An integrated decision and motion planning framework for automated driving on highway,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.037702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T10:46:46.880351Z digest=sha256:1c69b18a1e97f712beb34014d872b3fdb8df277b90523c851a7ad801ed176ba5

Observation 2ab824ff-c549-42fd-8b3e-be1c67075ecb · outbound

This paper cites Available: https://www.gurobi.com.

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles Available: https://www.gurobi.com

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.870406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.870406Z digest=sha256:ca873e26ba70c558f408b5615ab3fcfdfbeeee6287ef2cbbcf119649d5013cb0

Pith citing papers

Observation 038ddb3d-091c-4a03-8260-09844b75c299 · inbound

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles cites this paper.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:38:31.143072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:38:30.553006Z digest=sha256:9d8dbaf0eb54e73a14cd1c122e357d082dd8726e2494c825763dd79fbd061430