Bidirectional adaptive sampling and tangential guidance RRT* path planning algorithm for UAVs in complex three-dimensional environments

Jiang Haoyu
Zhu Junwu
Chen Zheyu
Zhang Hao
Jiang Yi
College of Information and Artificial Intelligence, Yangzhou University, Jiangsu Yangzhou 225127, China

Abstract

To address low sampling efficiency in narrow passages, obstructed expansion near non-convex obstacles, and inconsistent cost updates after rewiring in UAV path planning in complex three-dimensional environments, a bidirectional RRT* path planning algorithm with adaptive sampling and tangential guidance (BAT-RRT*) is proposed. The algorithm constructs an adaptive flat-corridor sampling region based on the expansion success rate and combines the Bridge Test to enhance narrow-passage sampling. It uses a cascade cooperative expansion strategy consisting of goal-directed connection, conical detour, tangential potential field, and random fallback, together with subtree cost-propagation rewiring and B-spline smoothing. Thirty independent experiments are conducted in four complex three-dimensional scenarios against five improved RRT* algorithms. Results show that BAT-RRT* performs better overall in path length, node count, iterations, running time, and average turning angle while maintaining a high safety margin. Ablation experiments further verify the effectiveness of the main improvements. The proposed algorithm improves search efficiency, obstacle-avoidance safety, and path continuity for UAV path planning in complex three-dimensional environments.

Foundation Support

国家自然科学基金资助项目(61872313)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.06.0158
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 2

Publish History

[2026-10-21] Accepted Paper

Cite This Article

蒋皓宇, 朱俊武, 陈哲宇, 等. 面向三维复杂环境的无人机自适应采样与切向引导双向RRT*路径规划算法 [J]. 计算机应用研究, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.06.0158. (Jiang Haoyu, Zhu Junwu, Chen Zheyu, et al. Bidirectional adaptive sampling and tangential guidance RRT* path planning algorithm for UAVs in complex three-dimensional environments [J]. Application Research of Computers, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.06.0158. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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