Visual Monocular Obstacle Avoidance for Small Unmanned Vehicles

Kovács, Levente Attila (2016) Visual Monocular Obstacle Avoidance for Small Unmanned Vehicles. In: Twelfth Embedded Vision Workshop in conjunction with IEEE CVPR 2016, 26 June 2016 - 1 July 2016, Las Vegas. 10.1109/CVPRW.2016

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Abstract

This paper presents and extensively evaluates a visual obstacle avoidance method using frames of a single camera, intended for application on small devices (ground or aerial robots or even smartphones). It is based on image region classification using so called relative focus maps, it does not require a priori training, and it is applicable in both indoor and outdoor environments, which we demonstrate through evaluations using both simulated and real data.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
Depositing User: Levente Attila Kovács
Date Deposited: 07 Nov 2016 11:46
Last Modified: 07 Nov 2016 11:46
URI: http://eprints.sztaki.hu/id/eprint/8855

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