小型无人机单目相机与激光传感器的目标检测

P. Dzurovčin, L. Švadlenka, M. Džunda, I. Vajdová, J. Galanda
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引用次数: 0

摘要

在本文中,我们提出了小型无人驾驶车辆检测和避开障碍物的选择方案。这一问题的解决非常复杂,主要是因为无人机的承载能力和能量来源有限。用于解决此任务的传感器必须满足最小的重量和功率要求。我们决定使用立体摄像机和激光,因为我们之前设置的要求。障碍物的大小由SURF算法和Harris探测器确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object Detection by Monocular Camera and Laser Sensors for Small Unmanned Aerial Vehicle
In this paper, we present selected options for detection and avoidance of obstacles by small unmanned vehicles. The solution to this problem is very complicated mainly because UAVs have a limited load capacity as well as energy sources. Sensors that can be used to solve this task must meet the minimum weight and power requirements. We decided to use a stereo camera and a laser because of the requirements that we set up earlier. The size of the obstacle is determined by the SURF algorithm and the Harris detector.
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