{"title":"基于后视镜的自动泊车系统车位检测与位姿估计方法","authors":"Seunghyun Kim, Joong-Sik Kim, Whoiyul Kim","doi":"10.1109/ICNIDC.2016.7974615","DOIUrl":null,"url":null,"abstract":"This paper proposes an algorithm for parking assist system. It detects a parking slot and estimates the pose of the parking slot. User touches the parking slot that wants to park at the display showing rear view. Then, an ROI is set based on the touch point. Parking slot is detected in the ROI using Hough transform. NCC (Normalized Cross Correlation) is used to get the pose of parking slot. It successfully detects parking slot and estimates the pose. But, there is a problem due to the scene change causing variation of parking slot at rear view when vehicle enters the parking slot. To solve this problem, the process of pose estimation is separated into phase 1 and phase 2 according to applied template shape.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A method of detecting parking slot in hough space and pose estimation using rear view image for autonomous parking system\",\"authors\":\"Seunghyun Kim, Joong-Sik Kim, Whoiyul Kim\",\"doi\":\"10.1109/ICNIDC.2016.7974615\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an algorithm for parking assist system. It detects a parking slot and estimates the pose of the parking slot. User touches the parking slot that wants to park at the display showing rear view. Then, an ROI is set based on the touch point. Parking slot is detected in the ROI using Hough transform. NCC (Normalized Cross Correlation) is used to get the pose of parking slot. It successfully detects parking slot and estimates the pose. But, there is a problem due to the scene change causing variation of parking slot at rear view when vehicle enters the parking slot. To solve this problem, the process of pose estimation is separated into phase 1 and phase 2 according to applied template shape.\",\"PeriodicalId\":439987,\"journal\":{\"name\":\"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNIDC.2016.7974615\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIDC.2016.7974615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of detecting parking slot in hough space and pose estimation using rear view image for autonomous parking system
This paper proposes an algorithm for parking assist system. It detects a parking slot and estimates the pose of the parking slot. User touches the parking slot that wants to park at the display showing rear view. Then, an ROI is set based on the touch point. Parking slot is detected in the ROI using Hough transform. NCC (Normalized Cross Correlation) is used to get the pose of parking slot. It successfully detects parking slot and estimates the pose. But, there is a problem due to the scene change causing variation of parking slot at rear view when vehicle enters the parking slot. To solve this problem, the process of pose estimation is separated into phase 1 and phase 2 according to applied template shape.