基于深度学习和单目视觉的机器人跟踪研究

Yiyang Chen, Wanpei Chen, Lifeng Zhang
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引用次数: 0

摘要

人类的视觉系统可以帮助人们感知到物体的距离。然而,由于硬件和软件的限制,对于机器人来说,像人类一样有效地使用视觉系统是一项具有挑战性的任务。与传统的双目视觉方式相比,单目视觉结构更简单,操作速度更快。本文详细研究了基于深度学习和单目视觉测距算法的人体识别与距离测量。仿真结果表明,该方法具有合理的距离精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Robot Tracking based on Deep Learning and Monocular Vision
The human vision system can help people to perceive the distance to an object. However,for robots, it is a challenging task to use the vision system as efficiently as people because of its hardware and software constraints. Compared with the traditional way of binocular vision, using monocular vision has a simpler structure and faster operation speed. In this paper, the human recognition and distance measurement based on deep learning and monocular vision ranging algorithms are studied in details. The simulation result shows a reasonable accuracy of distance.
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