Abstract Details
76 / 2025-05-14 19:20:03
Autonomous Vehicles Global Path Planning via Improved Bidirectional RRT*
Bidirection RRT* algorithm; unmanned vehicles; global path planning; Adaptive; Furthest point optimization;
Final Paper
The improved Bidirectional RRT* algorithm proposed in this paper first adopts bidirectional adaptive bias probability sampling and dynamic adjustment of step size. After generating the initial path, it uses the farthest point optimization method to 'prune' the initial path by removing redundant nodes. Finally, global smoothing using B-spline curves and local optimization using Bezier curves enhance the smoothness of the path. MATLAB simulation results indicate that compared to the RRT* algorithm, the path length is reduced by 12.27%, and the convergence speed increases by 36.39%. Compared to the Bi-RRT* algorithm, the path length is reduced by 24.46%, and the convergence speed increases by 32.09%. The improved algorithm demonstrates significant advantages in path planning efficiency, cost, and smoothness, providing reliable assurance for autonomous vehicles to quickly obtain a collision-free and smooth global optimal path.
Important Date
-
Conference Date
Aug 01
2025
toAug 04
2025
-
Aug 20 2025
Draft paper submission deadline
Sponsored By
中国机械工程学会设备智能运维分会
Organized By
新疆大学
Contact Information
- Mr. Yanruqiang
- ya******@xjtu.edu.cn
Previous Conferences
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2025-08-01 China wulumuqi
2025 International Conference on Equipment Intelligent Operation and Maintenance -
2023-09-21 China Hefei
2023 International Conference on Equipment Intelligent Operation and Maintenance
