Coverage Path Planning for Unmanned Aerial Vehicles in Complex 3D Environments with Deep Reinforcement Learning
Author:
Affiliation:
1. FH Kufstein Tirol-University of Applied Sciences,Kufstein,Austria,6330
2. FH Kufstein Tirol University of Applied Sciences,Kufstein,Austria,6330
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10011626/10011636/10011936.pdf?arnumber=10011936
Reference20 articles.
1. Energy-Efficient Drone Coverage Path Planning using Genetic Algorithm
2. Survey on Coverage Path Planning with Unmanned Aerial Vehicles
3. An Integrated Traveling Salesman and Coverage Path Planning Problem for Unmanned Aircraft Systems
4. Hierarchical Coverage Path Planning in Complex 3D Environments
5. Dynamic Optimization and Heuristics Based Online Coverage Path Planning in 3D Environment for UAVs
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3. An Efficient Multi-agent Deep Deterministic Policy Gradient-Based 3D Dynamic Coverage Algorithm;Lecture Notes in Electrical Engineering;2024
4. Robust Multi-Agent Coverage Path Planning for Unmanned Airial Vehicles (UAVs) in Complex 3D Environments with Deep Reinforcement Learning*;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04
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