Depth Image-based Distance Measurement for Two-wheeled Robots

Jian Hua Jhou; Yu Po Lin; Yih Guang Leu

doi:10.1109/CACS.2018.8606747

Depth Image-based Distance Measurement for Two-wheeled Robots

Jian Hua Jhou, Yu Po Lin, Yih Guang Leu^*

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2018 International Automatic Control Conference, CACS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538662786
DOIs	https://doi.org/10.1109/CACS.2018.8606747
Publication status	Published - 2018 Jul 2
Event	2018 International Automatic Control Conference, CACS 2018 - Taoyuan, Taiwan Duration: 2018 Nov 4 → 2018 Nov 7

Publication series

Name	2018 International Automatic Control Conference, CACS 2018

Conference

Conference	2018 International Automatic Control Conference, CACS 2018
Country/Territory	Taiwan
City	Taoyuan
Period	2018/11/04 → 2018/11/07

ASJC Scopus subject areas

Control and Optimization
Modelling and Simulation

Access to Document

10.1109/CACS.2018.8606747

Cite this

Depth Image-based Distance Measurement for Two-wheeled Robots. / Jhou, Jian Hua; Lin, Yu Po; Leu, Yih Guang.
2018 International Automatic Control Conference, CACS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8606747 (2018 International Automatic Control Conference, CACS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jhou, JH, Lin, YP & Leu, YG 2018, 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., 2018 International Automatic Control Conference, CACS 2018, Taoyuan, Taiwan, 2018/11/04. https://doi.org/10.1109/CACS.2018.8606747

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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.",

author = "Jhou, {Jian Hua} and Lin, {Yu Po} and Leu, {Yih Guang}",

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AB - 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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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 4 November 2018 through 7 November 2018

ER -

Depth Image-based Distance Measurement for Two-wheeled Robots

Abstract

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Conference

ASJC Scopus subject areas

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