Research on Pose Estimation for Electric Vehicle’s Fast-Swap Battery Box Based on Visual Information

Author:

Wu Yu Ming1,Liu Shuo2,Zhang Gao Yang1,Yin Xiao Yan3,Zhao Ming Yu1,Lu Zhi Yuan1

Affiliation:

1. China Electric Power Research Institute

2. State Grid Electric Power Research Institute

3. Rugao Power Supply Company

Abstract

For the reason of difficult to get battery box pose information, we research the battery box pose measure method based on visual information. We get the coplanar four points at the lines constraints which extracted form image. We get the pose relationship between the battery box coordinate system and camera coordinate system, and then calculate the average of the measure results to reduce noise effects for measure precision. Simulation results show that the method through calculate average of the measure results can effectively reduce noise effects for measure accuracy. The actual experimental results show that the pose estimate accuracy is meet robot requirements for battery swap.

Publisher

Trans Tech Publications, Ltd.

Reference11 articles.

1. Diankov R, Kanade T, Kuffner J. 9th IEEE-RAS International Conference on Humaniod Robots, 2009: 646-673.

2. Kimitoshi Yamazaki, Masahiro Tomono, and Takashi Tsubouchi. Field and Service Robotics, 2008, 42: 563-571.

3. De Xu, Min Tan, Yuan li: Visual Measurement and control for robots. The second edition. National Defense Industry Press, BeiJing 2011. (In Chinese).

4. Jie Li, Quanxin Ding, Peng Wang. Aeronautical computing technique, 2011, 41(6): 16-19. (In Chinese).

5. Xiaojian Wang, Shunliang Pan, Liwei Qiu, Weiqun Shen, Zishan Song. Chinese Journal of Scientific Instrument, 2008, 29(3): 600-604. (In Chinese).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review of robotic charging for electric vehicles;International Journal of Intelligent Robotics and Applications;2023-12-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3