An interaction-fair semi-decentralized trajectory planner for connected and autonomous vehicles
Abstract Lately, there has been a lot of interest in game-theoretic approaches to the trajectory planning of autonomous vehicles (AVs). But most methods solve the game independently for each AV while lacking coordination mechanisms, and hence result in redundant computation and fail to converge to t...
Saved in:
Main Authors: | Zhengqin Liu, Jinlong Lei, Peng Yi, Yiguang Hong |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
|
Series: | Autonomous Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s43684-024-00087-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ROITP: Road Obstacle-Involved Trajectory Planner for Autonomous Trucks
by: Yechen Qin, et al.
Published: (2025-02-01) -
Lane Changing Control of Autonomous Vehicle With Integrated Trajectory Planning Based on Stackelberg Game
by: Dongmei Wu, et al.
Published: (2024-01-01) -
Spatio-Temporal Joint Trajectory Planning for Autonomous Vehicles Based on Improved Constrained Iterative LQR
by: Qin Li, et al.
Published: (2025-01-01) -
ONLINE and multi-objective trajectory planner for robotic systems
by: Habib Mohamad, et al.
Published: (2025-01-01) -
DeepGame-TP: Integrating Dynamic Game Theory and Deep Learning for Trajectory Planning
by: Giovanni Lucente, et al.
Published: (2024-01-01)