A Fast Method for Measuring Kinematic Parameters of Experimental Vehicle Based on Machine Vision

DOI

10.2991/acaai-18.2018.27How to use a DOI?

Keywords

kinematic parameters; machine vision; background subtraction; motion prediction

Abstract

The vehicle kinematic parameter is important evaluation index of vehicle performance. But the measurement technique for vehicle kinematics parameters is still immature. Practical and efficient measuring system is now in badly demand. With the development of machine vision technique, more and more measurement problems can be solved better by combining the measuring task with optical system. And on this basis the accuracy and efficiency of kinematic parameter measurement can be improved. A measuring plan is presented in this paper. In order to simplify the measuring algorithm, a simple and practical marker is as the substitute of vehicle. The complex measurement system is simplified and transformed to detection and trajectory tracking of the marker. In order to reduce the amount of computation and improve the speed of detection, a motion prediction local detection theory is presented to replace the traditional background subtraction detection method. Several experiments through MATLAB are conducted to verify the feasibility and accuracy of this measuring method.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zi Liang
AU  - Tao Wang
PY  - 2018/03
DA  - 2018/03
TI  - A Fast Method for Measuring Kinematic Parameters of Experimental Vehicle Based on Machine Vision
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 115
EP  - 120
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.27
DO  - 10.2991/acaai-18.2018.27
ID  - Liang2018/03
ER  -