基于深度图像的两轮机器人距离测量

Jian-Hua Jhou, Yu-Po Lin, Yih-Guang Leu
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摘要

本文将两轮机器人与Kinect传感器相结合来测量障碍物距离。当两轮机器人自主平衡或移动时,由于两轮机器人的晃动,测距值会不稳定。本文采用智能预测方法对测距误差值进行修正,以提高测距值和避障决策的精度。最后,为了验证所提出的方法,进行了一些实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Depth Image-based Distance Measurement for Two-wheeled Robots
In this paper, the two-wheeled robot is combined with Kinect sensor to measure obstacle distance. When the two-wheeled robot autonomously balances or moves, the ranging value will be unstable due to the shaking of the two-wheeled robots. This paper uses a smart prediction method to correct the ranging error value in order to increase the accuracy of ranging value and the obstacle avoidance decision. Finally, in order to verify the proposed method, some experiments are performed.
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