A Novel A-star Algorithm for Vehicle Path Planning in Complex Scenes

Shijun Long*, Ying Li, Dongpu Cao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, a novel A-star algorithm with an improved heuristic function is proposed for autonomous vehicle path planning. Firstly, the direction guidance operator and distance weight coefficient are added to the heuristic function, which greatly reduces the expanded nodes and the search area of the algorithm in the search process. Secondly, the generated path is re-optimized to eliminate redundant nodes, this can improve the smoothness of the path, and further shorten the length of the path. Finally, the algorithm is tested in several different complex scenes. The experimental results demonstrate that the proposed algorithm performs exceptionally well in regards to path length, search time, and smoothness.

Original languageEnglish
Title of host publication2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350318470
DOIs
Publication statusPublished - 2023
Event3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023 - Orlando, United States
Duration: 7 Nov 20239 Nov 2023

Publication series

Name2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

Conference

Conference3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
Country/TerritoryUnited States
CityOrlando
Period7/11/239/11/23

Keywords

  • A-star algorithm
  • heuristic function
  • re-optimized

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