Spatiotemporal Trajectory Planning for Autonomous Vehicle Based on Reachable Set and Iterative LQR-Reference-Cited by-同舟云学术

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Spatiotemporal Trajectory Planning for Autonomous Vehicle Based on Reachable Set and Iterative LQR

Published:2024-08 Issue:8 Volume:73 Page:10932-10947
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Liu Yiping¹^ORCID,Pei Xiaofei²^ORCID,Zhou Honglong³,Guo Xuexun¹

Affiliation:

1. Department of Automotive Engineering, Wuhan University of Technology, Wuhan, China

2. Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan, China

3. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10637911/10452817.pdf?arnumber=10452817

Reference35 articles.

1. An empirical investigation on consumers’ intentions towards autonomous driving

2. Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic

3. Energy saving potentials of connected and automated vehicles

4. Perception, Planning, Control, and Coordination for Autonomous Vehicles

5. Real-Time Trajectory Planning for Autonomous Urban Driving: Framework, Algorithms, and Verifications

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent Vehicle Path Planning Based on Optimized A* Algorithm;Sensors;2024-05-15

2. Research on the ellipsoidal boundary of reachable sets of neutral systems with bounded disturbances and discrete time delays;AIMS Mathematics;2024

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