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

页码：156 / 159

页数：4

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