A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments

A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments

Integrating Unmanned Aerial Vehicles (UAVs) into military operations has become increasingly significant in recent years. In practical missions, UAVs are usually operated in unpredictable conditions, requiring robust planning to adapt to real-time changes. Thus, an effective path-planning algorithm...

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Bibliographic Details
Main Authors: Junchi Zhang, Yanning Xian, Xun Zhu, Hongtao Deng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Path planning
hybrid neural network
RRT
UAV
dynamic environment
Online Access:https://ieeexplore.ieee.org/document/10948514/
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