Keunho Park, Donghoon Kim, Seon-Hyeong Kim, K. Choi, Sun-Gi Jeong
{"title":"基于立体摄像头的电动汽车充电终端3D对接方法","authors":"Keunho Park, Donghoon Kim, Seon-Hyeong Kim, K. Choi, Sun-Gi Jeong","doi":"10.1109/ICUFN49451.2021.9528614","DOIUrl":null,"url":null,"abstract":"With the growth of battery-based electric drive platforms and intelligent control technologies, the diversity of smart EV related industries is increasing. A number of companies are competing to develop and commercialize electric vehicle charging robots. In this paper, we propose a three-dimensional docking method for the charging terminal of a multi-articulated robot electric vehicle based on stereo vision. Based on the stereo image, docking is performed by calculating the relative positions of the docker center, the degree of inclination and the degree of distortion using the calibration information of camera 1 and camera 2 and the position of the marker.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electric Vehicle Charging Terminal 3D Docking Method Using Stereo Camera\",\"authors\":\"Keunho Park, Donghoon Kim, Seon-Hyeong Kim, K. Choi, Sun-Gi Jeong\",\"doi\":\"10.1109/ICUFN49451.2021.9528614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the growth of battery-based electric drive platforms and intelligent control technologies, the diversity of smart EV related industries is increasing. A number of companies are competing to develop and commercialize electric vehicle charging robots. In this paper, we propose a three-dimensional docking method for the charging terminal of a multi-articulated robot electric vehicle based on stereo vision. Based on the stereo image, docking is performed by calculating the relative positions of the docker center, the degree of inclination and the degree of distortion using the calibration information of camera 1 and camera 2 and the position of the marker.\",\"PeriodicalId\":318542,\"journal\":{\"name\":\"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUFN49451.2021.9528614\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN49451.2021.9528614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electric Vehicle Charging Terminal 3D Docking Method Using Stereo Camera
With the growth of battery-based electric drive platforms and intelligent control technologies, the diversity of smart EV related industries is increasing. A number of companies are competing to develop and commercialize electric vehicle charging robots. In this paper, we propose a three-dimensional docking method for the charging terminal of a multi-articulated robot electric vehicle based on stereo vision. Based on the stereo image, docking is performed by calculating the relative positions of the docker center, the degree of inclination and the degree of distortion using the calibration information of camera 1 and camera 2 and the position of the marker.