Implementation of 3D Shape Matching for EV Charging Connector

Conference proceedings article

Authors/Editors

Strategic Research Themes

Publication Details

Author list: Chuaychoo P., Panomruttanarug B., Hirz M.

Publisher: Elsevier

Publication year: 2021

Start page: 498

End page: 501

Number of pages: 4

ISBN: 9784907764739

ISSN: 0928-4931

eISSN: 1873-0191

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117682850&partnerID=40&md5=60197ac45c8fb492b673babf9b3e8579

Languages: English-Great Britain (EN-GB)

Abstract

A shape feature is commonly chosen for matching an object with a template model in a vision-based design. A 3D shape matching technique is presented in this work to localize an EV charging connector. To perform the matching, a 3D model of the connector is firstly created and then used as a template to compare with images captured from different camera locations. This process is carried out by placing the camera around the fixed location with a fixed pose of the connector. To evaluate an effectiveness of matching, a white and black background are used to study a robustness to illumination changes. The results display some errors from using the white and black backgrounds in the Cartesian coordinate. © 2021 The Society of Instrument and Control Engineers-SICE.

Keywords

3D CAD matching, 3D object recognition, shape-based matching