Skip to Main content Skip to Navigation
Conference papers

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

Wander Martins 1 Alexandre Carlos Brandao-Ramos 2 Rafael Braga da Silva 3 Luciano Do V. Ribeiro 3 Felix Mora-Camino 4
1 Federal University of Itajuba
2 UNIFEI
3 UNIFEI - Lab LMI
4 ENAC - Ecole Nationale de l'Aviation Civile
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.
Document type :
Conference papers
Complete list of metadatas
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

Identifiers

Collections

ENAC | TDS-MACS | OPTIM

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

141