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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

Obstacle Avoidance for Flight Safety on Unmanned Aerial Vehicles

verfasst von : Wilbert G. Aguilar, Verónica P. Casaliglla, José L. Pólit, Vanessa Abad, Hugo Ruiz

Erschienen in: Advances in Computational Intelligence

Verlag: Springer International Publishing

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Abstract

In this paper, we propose an obstacle avoidance system for UAVs using a monocular camera. For detecting obstacles, the system compares the image obtained in real-time from the UAV with a database of obstacles that must be avoided. In our proposal, we include the feature point detector Speeded Up Robust Features (SURF) for fast obstacle detection and a control law, with a defined obstacle as target. The system was tested in real-time on a micro aerial vehicle (MAV), to detect and avoid obstacles on unknown environment, and compared with related works.

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Vorheriges Kapitel Pedestrian Detection for UAVs Using Cascade Classifiers and Saliency Maps
Nächstes Kapitel RRT* GL Based Optimal Path Planning for Real-Time Navigation of UAVs
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Metadaten
Titel
Obstacle Avoidance for Flight Safety on Unmanned Aerial Vehicles
verfasst von
Wilbert G. Aguilar
Verónica P. Casaliglla
José L. Pólit
Vanessa Abad
Hugo Ruiz
Copyright-Jahr
2017
Buch
Advances in Computational Intelligence

Print ISBN: 978-3-319-59146-9

Electronic ISBN: 978-3-319-59147-6

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-59147-6_49