Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles-Reference-Cited by-同舟云学术

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Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
language:
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Author:

Lin Jiaxin¹,Zhou Wenhui²,Wang Hong¹,Cao Zhong¹,Yu Wenhao¹,Zhao Chengxiang³,Zhao Ding⁴,Yang Diange¹,Li Jun¹

Affiliation:

1. School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084

2. Road Traffic Safety Research Center,Beijing,China,100062

3. School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China,100081

4. Carnegie Mellon University,Department of Mechanical Engineering,USA

Funder

National Science Foundation of China Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922208.pdf?arnumber=9922208

Reference21 articles.

1. Prediction-Uncertainty-Aware Decision-Making for Autonomous Vehicles

2. Implementation of MPC-Based Path Tracking for Autonomous Vehicles Considering Three Vehicle Dynamics Models with Different Fidelities

3. From Specifications to Behavior: Maneuver Verification in a Semantic State Space

4. Confidence-aware reinforcement learning for self-driving cars;cao;IEEE Transactions on Intelligent Transportation Systems,2021

5. LiDAR-based Object Detection Failure Tolerated Autonomous Driving Planning System

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4. CommonRoad-CARLA Interface: Bridging the Gap between Motion Planning and 3D Simulation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

5. TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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