Stereo-vision-based Collision Avoidance Simulation

被引：0
作者：
Zhu, Wenyu [1 ]
Chapman, Richard [1 ]
机构：
[1] Auburn Univ, Auburn, AL 36849 USA
来源：
PROCEEDINGS OF THE 2019 ANNUAL ACM SOUTHEAST CONFERENCE (ACMSE 2019) | 2019年
关键词：
Image processing; UAV flight simulation; stereo vision; path planning; collision avoidance;
D O I：
10.1145/3299815.3314446
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Because of safety concerns with unmanned aerial vehicles (UAV's), an effective collision avoidance algorithm is highly desirable on such vehicles. In this research, a stereo-vision distance-measurement-based UAV collision avoidance system for autonomous high-speed UAV's is proposed. We simulate the algorithm using a test bed consists of an OpenGL (Open Graphic Library) simulator of cockpit video and OpenCV (Open Source Computer Vision Library)-based image processing. The testing and results shows that the proposed algorithm works satisfactorily in both controlled and uncontrolled scenarios.
引用
收藏
页码：156 / 159
页数：4
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