A Convex Trajectory Planning Method for Autonomous Vehicles Considering Kinematic Feasibility and Bi-State Obstacles Avoidance Effectiveness-Reference-Cited by-同舟云学术

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A Convex Trajectory Planning Method for Autonomous Vehicles Considering Kinematic Feasibility and Bi-State Obstacles Avoidance Effectiveness

Published:2024-07 Issue:7 Volume:73 Page:9575-9590
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Wang Ying¹^ORCID,Wei Chong¹^ORCID,Li Shurong¹^ORCID,Sun Junkai²,Cao Jianfei³

Affiliation:

1. MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

2. School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China

3. Beijing Institute of Spacecraft System Engineering, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10606142/10444036.pdf?arnumber=10444036

Reference37 articles.

1. A Review of Motion Planning for Highway Autonomous Driving

2. An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors

3. Data-Driven Intelligent Transportation Systems: A Survey

4. Obstacle Avoidance, Path Planning and Control for Autonomous Vehicles

5. A Survey of Trajectory Planning Methods for Autonomous Driving — Part I: Unstructured Scenarios

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