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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Acknowledgement
This work is part of the projects VisualNavDrone 2016-PIC-024 and MultiNavCar 2016-PIC-025, from the Universidad de las Fuerzas Armadas ESPE, directed by Dr. Wilbert G. Aguilar.
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Aguilar, W.G., Casaliglla, V.P., Pólit, J.L., Abad, V., Ruiz, H. (2017). Obstacle Avoidance for Flight Safety on Unmanned Aerial Vehicles. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10306. Springer, Cham. https://doi.org/10.1007/978-3-319-59147-6_49
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DOI: https://doi.org/10.1007/978-3-319-59147-6_49
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