Deep Reinforcement Learning with Omnidirectional Images: application to UAV Navigation in Forests
Author:
Affiliation:
1. Université Côte d’Azur, CNRS, I3S,France
2. ImViA, Université Bourgogne Franche-Comté,France
Funder
ANR CLARA
GENCI
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004267.pdf?arnumber=10004267
Reference23 articles.
1. Proximal policy optimization algorithms;schulman;ArXiv,2017
2. AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
3. Corners for Layout: End-to-End Layout Recovery From 360 Images
4. Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach
5. Human-level control through deep reinforcement learning;mnih;Nature,2015
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1. Dual-Hemispherical Photometric Visual Servoing;IEEE Robotics and Automation Letters;2024-05
2. OMNI-CONV: Generalization of the Omnidirectional Distortion-Aware Convolutions;Journal of Imaging;2023-01-28
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