Safety challenges in using AR.Drone to collaborate with humans in indoor environments

Alexandros Lioulemes, Georgios Galatas, V. Metsis, G. Mariottini, F. Makedon
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引用次数: 19

Abstract

This paper presents an Unmanned Aerial Vehicle (UAV), based on the AR.Drone platform, which can perform an autonomous navigation in indoor (e.g. corridor, hallway) and industrial environments (e.g. production line). It also has the ability to avoid pedestrians while they are working or walking in the vicinity of the robot. The only sensor in our system is the front camera. For the navigation part our system rely on the vanishing point algorithm, the Hough transform for the wall detection and avoidance, and the HOG descriptors for pedestrian detection using SVM classifier. Our experiments show that our vision navigation procedures are reliable and enable the aerial vehicle to fly without humans intervention and coordinate together in the same workspace. We are able to detect human motion with high confidence of 85% in a corridor and to confirm our algorithm in 80% successful flight experiments.
在室内环境中使用ar无人机与人类合作的安全挑战
本文提出了一种基于AR.Drone平台的无人机(UAV),它可以在室内(如走廊、走廊)和工业环境(如生产线)中进行自主导航。它还具有避开在机器人附近工作或行走的行人的能力。我们系统里唯一的传感器是前置摄像头。对于导航部分,我们的系统依赖于消失点算法,霍夫变换用于墙壁检测和回避,以及HOG描述符用于使用SVM分类器检测行人。我们的实验表明,我们的视觉导航程序是可靠的,可以使飞行器在没有人工干预的情况下飞行,并在同一工作空间内进行协调。我们能够以85%的高置信度在走廊中检测人体运动,并在80%的成功飞行实验中证实我们的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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