Path Planning for Fully Autonomous UAVs-A Taxonomic Review and Future Perspectives

Path Planning for Fully Autonomous UAVs-A Taxonomic Review and Future Perspectives

Autonomous Unmanned Aerial Vehicles (UAVs) rely on advanced path planning to operate independently, especially in unfamiliar settings without human intervention. The process typically involves localization, mapping, optimal path selection, motion planning, and control. Achieving autonomous navigatio...

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Bibliographic Details
Main Authors: Geeta Sharma, Sanjeev Jain, Radhe Shyam Sharma
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Path planning
deep learning
deep reinforcement learning
heuristic approaches
machine learning
unmanned aerial vehicle (UAV)
Online Access:https://ieeexplore.ieee.org/document/10840190/
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https://ieeexplore.ieee.org/document/10840190/

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