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Computer vision in remotely piloted aircraft (RPA) to avoid obstacles during flight

Abstract : This paper presents the implementation of an algorithm based on elementary computer vision techniques that allow an UAV (Unmanned Aerial Vehicle), or robot, to identify obstacles in front of it and quickly decide a better way to move in order to avoid them, without demanding complex software or high computational performance, using only a trivial camera and applying no more than two mathematical treatments on images. We implement and test this solution in a simulation environment, although it can be readily applied to UAVs in real life.
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https://hal-enac.archives-ouvertes.fr/hal-01626531
Contributor : Laurence Porte <>
Submitted on : Monday, October 30, 2017 - 8:48:07 PM
Last modification on : Tuesday, October 20, 2020 - 10:32:06 AM

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Wander Martins, Alexandre Carlos Brandao-Ramos, Rafael Braga da Silva, Luciano Do V. Ribeiro, Felix Mora-Camino. Computer vision in remotely piloted aircraft (RPA) to avoid obstacles during flight. ICAR 2017, 18th International Conference on Advanced Robotics, Jul 2017, Hong Kong, China. pp 316-321 / ISBN: 978-1-5386-3158-4, ⟨10.1109/ICAR.2017.8023626⟩. ⟨hal-01626531⟩

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