Research, Analysis, and Improvement of Unmanned Aerial Vehicle Path Planning Algorithms in Urban Ultra-Low Altitude Airspace

Research, Analysis, and Improvement of Unmanned Aerial Vehicle Path Planning Algorithms in Urban Ultra-Low Altitude Airspace

Urban ultra-low altitude airspace (ULAA) presents unique challenges for unmanned aerial vehicle (UAV) path planning due to high building density and regulatory constraints. This study analyzes and improves classical path planning algorithms for UAVs in ULAA. Experiments were conducted using A*, RRT,...

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Bibliographic Details
Main Authors: Jianwei Gao, Weijun Pan
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Aerospace
Subjects:
UAV path planning
urban airspace
A* algorithm
RRT* algorithm
artificial potential field
algorithm enhancement
Online Access:https://www.mdpi.com/2226-4310/11/9/704

Internet

https://www.mdpi.com/2226-4310/11/9/704

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