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...

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Vydané v:	Remote sensing (Basel, Switzerland) Ročník 15; číslo 2; s. 487
Hlavní autori:	Guo, Xiaomin, Cao, Yongxing, Zhou, Jian, Huang, Yuanxian, Li, Bijun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2023
Predmet:	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
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