Sharpness of Tire Angle Determination Based on Point Cloud Dataset

DOI

10.2991/caai-18.2018.34How to use a DOI?

Keywords

point cloud; sharpness; tire angle

Abstract

In the tire production line, it is usually necessary to trim the blank tires to finished tires according to the sharpness of tire angle. If the determination of tire angle is made by mistakes, it will cause the tire to be a waste for choosing a wrong scraper. In order to determine the sharpness of tire angle accurately, point cloud acquisition camera was used to collect the data of tires in the production line. Based on the point cloud data of tires, a framework to detect the sharpness of tire angle was proposed. In the proposed framework, a locating method using image processing algorithms such as morphological operation, connected component labeling and corner point detection was used to locate the tire angle. A ridge detection algorithm including surface normal vector and principal curvature computation was used to determine the type of tire angle. A number of point cloud datasets of different tires experimental results show that the proposed framework has higher accuracy and efficiency to determine whether the tire angle is sharp or round.

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  - Xinrong Lyu
PY  - 2018/08
DA  - 2018/08
TI  - Sharpness of Tire Angle Determination Based on Point Cloud Dataset
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 146
EP  - 150
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.34
DO  - 10.2991/caai-18.2018.34
ID  - Lyu2018/08
ER  -