A Method for New Energy Electric Vehicle Charging Hole Detection and Location Based on Machine Vision

DOI

10.2991/emcpe-16.2016.84How to use a DOI?

Keywords

new energy electric vehicle charging, detection and location to charging hole, machine vision, HSI color model, morphology.

Abstract

A new method based on machine vision is designed for electric vehicle charging hole detection and location in order to solve the low efficiency, space limitations or leakage risk in artificial charging operation for electric vehicle and to realize the automatic charging based on robot. The method enable to efficiently and accurately extract valuable characteristics of the charging hole from a charging socket image. Aim at the problem that strong electromagnetic automobile charging system will bring salt and pepper noise to image signal, the paper firstly adopts the classical median filtering for image noise cancellation. The charging socket image shows complicated background, uneven brightness, strong reflective and few goal characteristic, making the goal segmentation extremely difficult when employing the common method with fixed or adaptive threshold. Therefore, a two-stage image segmentation method based on HSI color model is proposed in paper to extract the characteristics of the charging hole target with sub-pixel precision. The image segmentation method involves threshold segmentation in the Hue component of original image, morphological operation and edge detection based on Canny operator. Meanwhile, It also reduces the influence of problem above due to the operation in Hue component. In this paper, it is based on vision platform HALCON and experiment result shows that the method enable to meet the requirements where location accuracy with sub-pixel precision and detection.

Copyright

© 2016, 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  - Hui Zhang
AU  - Xiating Jin
PY  - 2016/08
DA  - 2016/08
TI  - A Method for New Energy Electric Vehicle Charging Hole Detection and Location Based on Machine Vision
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.84
DO  - 10.2991/emcpe-16.2016.84
ID  - Zhang2016/08
ER  -