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.
Type de document :
Communication dans un congrès
ICAR 2017, 18th International Conference on Advanced Robotics , Jul 2017, Hong Kong, China. IEEE, pp.ISBN: 978-1-5386-3158-4 Advanced Robotics (ICAR), 2017 18th International Conference on. 〈10.1109/ICAR.2017.8023626〉
Liste complète des métadonnées

https://hal-enac.archives-ouvertes.fr/hal-01626531
Contributeur : Laurence Porte <>
Soumis le : lundi 30 octobre 2017 - 20:48:07
Dernière modification le : jeudi 16 novembre 2017 - 09:57:47

Identifiants

Collections

Citation

Wander Martins, Alexandre Carlos Brandao-Ramos, Rafael Braga Da Silva, Luciano Do V. Ribeiro, Felix Antonio Claudio 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. IEEE, pp.ISBN: 978-1-5386-3158-4 Advanced Robotics (ICAR), 2017 18th International Conference on. 〈10.1109/ICAR.2017.8023626〉. 〈hal-01626531〉

Partager

Métriques

Consultations de la notice

58