Automatic recognition and location system for electric vehicle charging port in complex environment. Issue 10 (8th July 2020)
- Record Type:
- Journal Article
- Title:
- Automatic recognition and location system for electric vehicle charging port in complex environment. Issue 10 (8th July 2020)
- Main Title:
- Automatic recognition and location system for electric vehicle charging port in complex environment
- Authors:
- Pan, Mingqiang
Sun, Cheng
Liu, Jizhu
Wang, Yangjun - Abstract:
- Abstract : This study proposes an automatic recognition and location system of electric vehicle charging port with application to automatic charging. The system obtains the charging port posture through image processing, and performs the insertion motion in combination with the robot arm to complete the charging gun insertion of the automatic charging link. The framework of the system is mainly divided into three parts, recognition, location and insertion. In the charging port recognition, the convolutional neural network‐based method is used, and the recognition success rate is up to 98.9% under the light intensity of 4000 lux; in the location of the charging port, the method of solving the pose based on the circle feature is adopted. The average value of the position error is within 1.4 mm, and the average value of the attitude angle error is within 1.6°, which meets the accuracy requirement of the insertion experiment; in the charging gun insertion, the motion of the robot is planned by interpolation algorithm. The lower limit of the successful insertion is about 135 lux and the upper limit is about 9350 lux.
- Is Part Of:
- IET image processing. Volume 14:Issue 10(2020)
- Journal:
- IET image processing
- Issue:
- Volume 14:Issue 10(2020)
- Issue Display:
- Volume 14, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 14
- Issue:
- 10
- Issue Sort Value:
- 2020-0014-0010-0000
- Page Start:
- 2263
- Page End:
- 2272
- Publication Date:
- 2020-07-08
- Subjects:
- interpolation -- pose estimation -- position control -- electric vehicles -- convolutional neural nets -- neurocontrollers -- robot vision -- control engineering computing
automatic recognition -- location system -- electric vehicle charging port -- charging port posture -- insertion motion -- charging gun insertion -- automatic charging link -- charging port recognition -- convolutional neural network‐based method -- image processing -- robot arm -- interpolation algorithm
Image processing -- Periodicals
621.36705 - Journal URLs:
- http://digital-library.theiet.org/content/journals/iet-ipr ↗
http://ieeexplore.ieee.org/servlet/opac?punumber=4149689 ↗
http://www.ietdl.org/IET-IPR ↗
https://ietresearch.onlinelibrary.wiley.com/journal/17519667 ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/iet-ipr.2019.1138 ↗
- Languages:
- English
- ISSNs:
- 1751-9659
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23455.xml