VPS-APF-RRT*: A variable probability sampling RRT* intelligent algorithm combined with APF for autonomous vehicles path planning
Authors:
- Fanzhan TaoFTFanzhan Tao
- Zhaowei DingZDZhaowei Ding
- Zhikai WangZWZhikai Wang
- Baofeng JiBJBaofeng Ji
- 15 October 2025
- journal article
- Published by Elsevier in Expert Systems with Applications
- Vol. 299
Abstract
No abstract availableFunding Information
- Science and Technology Innovation Talents in Universities of Henan Province (23HASTIT021)
- Henan University of Science and Technology
- Henan Provincial Science and Technology Research Project (242102241063)
- Henan Provincial Science and Technology Research Project (242102221025)
- National Natural Science Foundation of China (62301212)
This publication has 31 references indexed in Scilit:
- DBVS-APF-RRT*: A global path planning algorithm with ultra-high speed generation of initial paths and high optimal path qualityExpert Systems with Applications, 2024
- Relevant Region sampling strategy with adaptive heuristic for asymptotically optimal path planningBiomimetic Intelligence and Robotics, 2023
- FF-RRT*: a sampling-improved path planning algorithm for mobile robots against concave cavity obstacleComplex & Intelligent Systems, 2023
- UAV trajectory planning in cluttered environments based on PF-RRT* algorithm with goal-biased strategyEngineering Applications of Artificial Intelligence, 2022
- AEB-RRT*: an adaptive extension bidirectional RRT* algorithmAutonomous Robots, 2022
- F-RRT*: An improved path planning algorithm with improved initial solution and convergence rateExpert Systems with Applications, 2021
- PQ-RRT*: An improved path planning algorithm for mobile robotsExpert Systems with Applications, 2020
- Quick-RRT*: Triangular inequality-based implementation of RRT* with improved initial solution and convergence rateExpert Systems with Applications, 2019
- Autonomous driving motion planning with obstacles prioritization using lexicographic optimizationControl Engineering Practice, 2018
- Potential functions based sampling heuristic for optimal path planningAutonomous Robots, 2015