Target-driven obstacle avoidance algorithm based on DDPG for connected autonomous vehicles

Target-driven obstacle avoidance algorithm based on DDPG for connected autonomous vehicles

Abstract In the field of autonomous driving, obstacle avoidance is of great significance for safe driving. At present, in addition to traditional obstacle avoidance algorithms including VFH algorithm, artificial potential field method, a large number of related researches are focused on algorithms b...

Full description

Bibliographic Details
Main Authors: Yu Chen, Wei Han, Qinghua Zhu, Yong Liu, Jingya Zhao
Format: Article
Language:English
Published: SpringerOpen 2022-07-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Network assisted
Automated driving
Path planning
Reinforcement learning
Obstacle avoidance
Path following
Online Access:https://doi.org/10.1186/s13634-022-00872-5

Internet

https://doi.org/10.1186/s13634-022-00872-5

Similar Items