{"title":"基于卡尔曼滤波的汽车雷达目标跟踪","authors":"A. Macaveiu, A. Campeanu","doi":"10.1109/TELSKS.2013.6704439","DOIUrl":null,"url":null,"abstract":"Automotive radars have been introduced successfully into the consumer market with sensors in the 24- and 77-GHz domain [1]. In order to increase traffic safety, an application for detecting and tracking Vulnerable Road Users (VRU) and vehicles in front of the car is currently under development. By using a single 24-GHz radar sensor, target parameters like range, radial velocity and azimuth angle are measured even in multiple target scenarios. This paper describes the current implementation progress of a signal processing scheme for target tracking by Kalman filtering and presents tracking results using real measurement data. The work is developed under the FP7 EC funded project ARTRAC [2].","PeriodicalId":144044,"journal":{"name":"2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Automotive radar target tracking by Kalman filtering\",\"authors\":\"A. Macaveiu, A. Campeanu\",\"doi\":\"10.1109/TELSKS.2013.6704439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automotive radars have been introduced successfully into the consumer market with sensors in the 24- and 77-GHz domain [1]. In order to increase traffic safety, an application for detecting and tracking Vulnerable Road Users (VRU) and vehicles in front of the car is currently under development. By using a single 24-GHz radar sensor, target parameters like range, radial velocity and azimuth angle are measured even in multiple target scenarios. This paper describes the current implementation progress of a signal processing scheme for target tracking by Kalman filtering and presents tracking results using real measurement data. The work is developed under the FP7 EC funded project ARTRAC [2].\",\"PeriodicalId\":144044,\"journal\":{\"name\":\"2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELSKS.2013.6704439\",\"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 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSKS.2013.6704439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automotive radar target tracking by Kalman filtering
Automotive radars have been introduced successfully into the consumer market with sensors in the 24- and 77-GHz domain [1]. In order to increase traffic safety, an application for detecting and tracking Vulnerable Road Users (VRU) and vehicles in front of the car is currently under development. By using a single 24-GHz radar sensor, target parameters like range, radial velocity and azimuth angle are measured even in multiple target scenarios. This paper describes the current implementation progress of a signal processing scheme for target tracking by Kalman filtering and presents tracking results using real measurement data. The work is developed under the FP7 EC funded project ARTRAC [2].