Stereo vision-based Collision Avoidance for Unmanned Systems

被引:0
|
作者
Kong, Sungick [1 ]
Lee, Sang-Seol [1 ]
Jang, Sung-Joon [1 ]
机构
[1] KETI, Intelligent Image Proc Res Ctr, Seongnam Si 13488, South Korea
关键词
Unmanned Syatems; UAV(Unmanned Aerial Vehicle); Navigable Space; Collision Avoidance;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the unmanned systems, the intelligent navigating technologies are very important. For this purpose, we introduce a navigation algorithm that includes collision avoidance using a stereo camera. To accurately avoid the obstacles, we propose the object detection, the navigable space searching and the efficient collision avoidance real-time algorithms. In this article, we focus on an unmanned aerial vehicle (UAV) system. The UAV basically flies along the global path towards the goal point entered by the user. If it is not possible, UAV return by performing the proposed local path planning algorithm. The generated local path is based on the new waypoint, and it safely flies to the final goal point using the calculated flight direction and distance information between waypoint and waypoint.
引用
收藏
页码:204 / 205
页数:2
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