{"title":"基于激光距离数据极坐标检测的多车PHD跟踪方法","authors":"B. Fortin, R. Lherbier, J. Noyer","doi":"10.1109/SysCon.2013.6549892","DOIUrl":null,"url":null,"abstract":"This paper presents a detection and tracking approach of multiple vehicles in scanning laser range data. The proposed solution relies on a new detection method based on object geometric invariant that uses the raw measurements directly in polar coordinates. The multitarget management problem is solved in the PHD framework by a particle filter.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A PHD approach for multiple vehicle tracking based on a polar detection method in laser range data\",\"authors\":\"B. Fortin, R. Lherbier, J. Noyer\",\"doi\":\"10.1109/SysCon.2013.6549892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a detection and tracking approach of multiple vehicles in scanning laser range data. The proposed solution relies on a new detection method based on object geometric invariant that uses the raw measurements directly in polar coordinates. The multitarget management problem is solved in the PHD framework by a particle filter.\",\"PeriodicalId\":218073,\"journal\":{\"name\":\"2013 IEEE International Systems Conference (SysCon)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Systems Conference (SysCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SysCon.2013.6549892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Systems Conference (SysCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SysCon.2013.6549892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A PHD approach for multiple vehicle tracking based on a polar detection method in laser range data
This paper presents a detection and tracking approach of multiple vehicles in scanning laser range data. The proposed solution relies on a new detection method based on object geometric invariant that uses the raw measurements directly in polar coordinates. The multitarget management problem is solved in the PHD framework by a particle filter.