Visual Monocular Obstacle Avoidance for Small Unmanned Vehicles

被引：7
|
作者：
Kovacs, Levente [1 ]
机构：
[1] Hungarian Acad Sci, MTA SZTAKI Inst Comp Sci & Control, Kende U 13-17, Budapest, Hungary
来源：
PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) | 2016年
关键词：
D O I：
10.1109/CVPRW.2016.114
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：877 / 884
页数：8
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