HDM-RRT: A Fast HD-Map-Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment

On campus, the complexity of the environment and the lack of regulatory constraints make it difficult to model the environment, resulting in less efficient motion planning algorithms. To solve this problem, HD-Map-guided sampling-based motion planning is a feasible research direction. We proposed a...

Full description

Saved in:

Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 15; no. 2; p. 487
Main Authors:	Guo, Xiaomin, Cao, Yongxing, Zhou, Jian, Huang, Yuanxian, Li, Bijun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.01.2023
Subjects:	algorithm efficiency Algorithms autonomous driving Autonomous vehicles College campuses Constraint modelling Convergence Efficiency HD-Map Heuristic Motion planning Normal distribution Optimization risk risk assessment Roads & highways Sampling sampling-based algorithm Stability
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!