{"title":"基于低成本GPS/IMU的多速率车辆侧滑角估计","authors":"Sung Bong Hong, C. Kang, Seung-Hi Lee, C. Chung","doi":"10.23919/ICCAS.2017.8204419","DOIUrl":null,"url":null,"abstract":"This paper proposes a side slip angle estimation method using a low-cost Global Positioning System (GPS)/Inertial Measurement Unit (IMU). To estimate the side slip angle, we use the yaw rate of IMU and the course angle of GPS. Planar lateral vehicle model-based estimator was designed to integrate the yaw rate of IMU and course angle of GPS. The proposed method was validated via an experiment.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Multi-rate vehicle side slip angle estimation using low-cost GPS/IMU\",\"authors\":\"Sung Bong Hong, C. Kang, Seung-Hi Lee, C. Chung\",\"doi\":\"10.23919/ICCAS.2017.8204419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a side slip angle estimation method using a low-cost Global Positioning System (GPS)/Inertial Measurement Unit (IMU). To estimate the side slip angle, we use the yaw rate of IMU and the course angle of GPS. Planar lateral vehicle model-based estimator was designed to integrate the yaw rate of IMU and course angle of GPS. The proposed method was validated via an experiment.\",\"PeriodicalId\":140598,\"journal\":{\"name\":\"2017 17th International Conference on Control, Automation and Systems (ICCAS)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 17th International Conference on Control, Automation and Systems (ICCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICCAS.2017.8204419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS.2017.8204419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-rate vehicle side slip angle estimation using low-cost GPS/IMU
This paper proposes a side slip angle estimation method using a low-cost Global Positioning System (GPS)/Inertial Measurement Unit (IMU). To estimate the side slip angle, we use the yaw rate of IMU and the course angle of GPS. Planar lateral vehicle model-based estimator was designed to integrate the yaw rate of IMU and course angle of GPS. The proposed method was validated via an experiment.
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