Depth Image-based Distance Measurement for Two-wheeled Robots

Jian Hua Jhou, Yu Po Lin, Yih Guang Leu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2018 International Automatic Control Conference, CACS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538662786
DOIs
Publication statusPublished - 2019 Jan 9
Externally publishedYes
Event2018 International Automatic Control Conference, CACS 2018 - Taoyuan, Taiwan
Duration: 2018 Nov 42018 Nov 7

Publication series

Name2018 International Automatic Control Conference, CACS 2018

Conference

Conference2018 International Automatic Control Conference, CACS 2018
CountryTaiwan
CityTaoyuan
Period18/11/418/11/7

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ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation

Cite this

Jhou, J. H., Lin, Y. P., & Leu, Y. G. (2019). Depth Image-based Distance Measurement for Two-wheeled Robots. In 2018 International Automatic Control Conference, CACS 2018 [8606747] (2018 International Automatic Control Conference, CACS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACS.2018.8606747