The path planning algorithm research based on cost field for autonomous vehicles

Yong Yu*, Meiling Wang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

This path planning algorithm is used for the autonomous vehicle driving in the unstructured road. The gradient grid which is obtained from the point cloud data is used as the cost field. Considering the traffic-ability of autonomous vehicle, the cost field needs to be corrected by the High-resolution gradient and elevation grid in this paper. Then transforming the grid model into the network-node model. In this way, the cost field model can be used for the optimal path algorithm, such as the Dijkstra algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012
Pages38-41
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012 - Nanchang, Jiangxi, China
Duration: 26 Aug 201227 Aug 2012

Publication series

NameProceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012
Volume2

Conference

Conference2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012
Country/TerritoryChina
CityNanchang, Jiangxi
Period26/08/1227/08/12

Keywords

  • Autonomous vehicle
  • Cost field
  • GIS
  • Optimal path

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