MPN-RRT*: A New Method in 3D Urban Path Planning for UAV Integrating Deep Learning and Sampling Optimization

MPN-RRT*: A New Method in 3D Urban Path Planning for UAV Integrating Deep Learning and Sampling Optimization

The increasing deployment of unmanned aerial vehicles (UAVs) in complex urban environments necessitates efficient and reliable path planning algorithms. While traditional sampling-based methods such as Rapidly exploring Random Tree Star (RRT*) are widely adopted, their computational inefficiency and...

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Bibliographic Details
Main Authors: Yue Zheng, Ang Li, Zihan Chen, Yapeng Wang, Xu Yang, Sio-Kei Im
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
deep learning
path planning
UAV
MPNet
RRT*
MPN-RRT*
Online Access:https://www.mdpi.com/1424-8220/25/13/4142
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