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首页|期刊导航|Computers, Materials & Continua|HS-APF-RRT*: An Off-Road Path-Planning Algorithm for Unmanned Ground Vehicles Based on Hierarchical Sampling and an Enhanced Artificial Potential Field

HS-APF-RRT*: An Off-Road Path-Planning Algorithm for Unmanned Ground Vehicles Based on Hierarchical Sampling and an Enhanced Artificial Potential Field

Zhenpeng Jiang Qingquan Liu Ende Wang

Computers, Materials & Continua2026,Vol.86Issue(1):P.1218-1235,18.
Computers, Materials & Continua2026,Vol.86Issue(1):P.1218-1235,18.DOI:10.32604/cmc.2025.068780

HS-APF-RRT*: An Off-Road Path-Planning Algorithm for Unmanned Ground Vehicles Based on Hierarchical Sampling and an Enhanced Artificial Potential Field

Zhenpeng Jiang 1Qingquan Liu 1Ende Wang1

作者信息

  • 1. School of Equipment Engineering,Shenyang Ligong University,Shenyang,110159,China
  • 折叠

摘要

关键词

RRT*/APF/path planning/off-road/Unmanned Ground Vehicle(UGV)

分类

交通工程

引用本文复制引用

Zhenpeng Jiang,Qingquan Liu,Ende Wang..HS-APF-RRT*: An Off-Road Path-Planning Algorithm for Unmanned Ground Vehicles Based on Hierarchical Sampling and an Enhanced Artificial Potential Field[J].Computers, Materials & Continua,2026,86(1):P.1218-1235,18.

基金项目

supported in part by 14th Five Year National Key R&D Program Project(Project Number:2023YFB3211001) (Project Number:2023YFB3211001)

the National Natural Science Foundation of China(62273339,U24A201397). (62273339,U24A201397)

Computers, Materials & Continua

1546-2218

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