Automatic driving path plan based on iterative and triple optimization method

Fuente: arXiv
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Autores principales: Yinyang, Yang, Chanchan, Wang
Formato: Preprint
Publicado: 2022
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author Yinyang, Yang
Chanchan, Wang
author_facet Yinyang, Yang
Chanchan, Wang
contents This paper presents a triple optimization algorithm of two-dimensional space, driving path and driving speed, and iterates in the time dimension to obtain the local optimal solution of path and speed in the optimal driving area. Design iterative algorithm to solve the best driving path and speed within the limited conditions. The algorithm can meet the path planning needs of automatic driving vehicle in complex scenes and medium and high-speed scenes.
format Preprint
id arxiv_https___arxiv_org_abs_2209_09026
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Automatic driving path plan based on iterative and triple optimization method
Yinyang, Yang
Chanchan, Wang
Robotics
Optimization and Control
This paper presents a triple optimization algorithm of two-dimensional space, driving path and driving speed, and iterates in the time dimension to obtain the local optimal solution of path and speed in the optimal driving area. Design iterative algorithm to solve the best driving path and speed within the limited conditions. The algorithm can meet the path planning needs of automatic driving vehicle in complex scenes and medium and high-speed scenes.
title Automatic driving path plan based on iterative and triple optimization method
topic Robotics
Optimization and Control
url https://arxiv.org/abs/2209.09026