{"title":"地面跟踪采用变结构多模型变粒子数粒子滤波器","authors":"G. Kravaritis, B. Mulgrew","doi":"10.1109/RADAR.2005.1435943","DOIUrl":null,"url":null,"abstract":"This paper studies the problem of ground tracking using a-priori information about the road structure. It presents an efficient variation of the variable structure multiple model particle filter, in which the number of active particles is allowed to vary. The proposed technique decreases the algorithmic computational intensity and can be generalized and used in various multi-model particle filters.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"131 S3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Ground tracking using a variable structure multiple model particle filter with varying number of particles\",\"authors\":\"G. Kravaritis, B. Mulgrew\",\"doi\":\"10.1109/RADAR.2005.1435943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the problem of ground tracking using a-priori information about the road structure. It presents an efficient variation of the variable structure multiple model particle filter, in which the number of active particles is allowed to vary. The proposed technique decreases the algorithmic computational intensity and can be generalized and used in various multi-model particle filters.\",\"PeriodicalId\":444253,\"journal\":{\"name\":\"IEEE International Radar Conference, 2005.\",\"volume\":\"131 S3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Radar Conference, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2005.1435943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Radar Conference, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2005.1435943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ground tracking using a variable structure multiple model particle filter with varying number of particles
This paper studies the problem of ground tracking using a-priori information about the road structure. It presents an efficient variation of the variable structure multiple model particle filter, in which the number of active particles is allowed to vary. The proposed technique decreases the algorithmic computational intensity and can be generalized and used in various multi-model particle filters.