{"title":"基于GNSS/IMU/LIDAR多源信息融合的定位方法研究","authors":"Tang Jingman, Zhang Yali, Li Anran","doi":"10.1109/ICMSP53480.2021.9513226","DOIUrl":null,"url":null,"abstract":"In recent years, unmanned mobile platforms have been applied more and more widely in various fields of society, and the market has a strong actual demand for consumer navigation and positioning system. In this paper, a localization algorithm based on GNSS/IMU integrated navigation system combined with Lidar odometer is proposed. Graph optimization is used for multisensor data fusion. Experiments show the excellent performance of the algorithm.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Location Method Based on GNSS/IMU/LIDAR Multi-source Information Fusion\",\"authors\":\"Tang Jingman, Zhang Yali, Li Anran\",\"doi\":\"10.1109/ICMSP53480.2021.9513226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, unmanned mobile platforms have been applied more and more widely in various fields of society, and the market has a strong actual demand for consumer navigation and positioning system. In this paper, a localization algorithm based on GNSS/IMU integrated navigation system combined with Lidar odometer is proposed. Graph optimization is used for multisensor data fusion. Experiments show the excellent performance of the algorithm.\",\"PeriodicalId\":153663,\"journal\":{\"name\":\"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSP53480.2021.9513226\",\"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 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSP53480.2021.9513226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Location Method Based on GNSS/IMU/LIDAR Multi-source Information Fusion
In recent years, unmanned mobile platforms have been applied more and more widely in various fields of society, and the market has a strong actual demand for consumer navigation and positioning system. In this paper, a localization algorithm based on GNSS/IMU integrated navigation system combined with Lidar odometer is proposed. Graph optimization is used for multisensor data fusion. Experiments show the excellent performance of the algorithm.