{"title":"不确定信标水下导航系统的全距离SLAM","authors":"Wei Chen, Ruisheng Sun","doi":"10.1109/ICMIC.2018.8529843","DOIUrl":null,"url":null,"abstract":"As a high-precision navigation method for autonomous underwater vehicle (AUV), beacon-aided navigation system is widely concerned. In this system, the accurate positions of the beacons are the key to ensure the navigation accuracy. In this paper, we propose a range-only simultaneous localization and mapping (SLAM) method for underwater positioning system with uncertain positions of the beacons. First, the kinematic model of AUV and the range-only measurement model are established. Then, according to these two models, we present a SLAM framework for beacon-aided navigation system. Further, an EKF-SLAM algorithm is introduced to simultaneously estimate the positions of AUV and beacons. Finally, simulation results verifies the effectiveness of this algorithm.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Range-Only SLAM for Underwater Navigation System with Uncertain Beacons\",\"authors\":\"Wei Chen, Ruisheng Sun\",\"doi\":\"10.1109/ICMIC.2018.8529843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a high-precision navigation method for autonomous underwater vehicle (AUV), beacon-aided navigation system is widely concerned. In this system, the accurate positions of the beacons are the key to ensure the navigation accuracy. In this paper, we propose a range-only simultaneous localization and mapping (SLAM) method for underwater positioning system with uncertain positions of the beacons. First, the kinematic model of AUV and the range-only measurement model are established. Then, according to these two models, we present a SLAM framework for beacon-aided navigation system. Further, an EKF-SLAM algorithm is introduced to simultaneously estimate the positions of AUV and beacons. Finally, simulation results verifies the effectiveness of this algorithm.\",\"PeriodicalId\":262938,\"journal\":{\"name\":\"2018 10th International Conference on Modelling, Identification and Control (ICMIC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Conference on Modelling, Identification and Control (ICMIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMIC.2018.8529843\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIC.2018.8529843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Range-Only SLAM for Underwater Navigation System with Uncertain Beacons
As a high-precision navigation method for autonomous underwater vehicle (AUV), beacon-aided navigation system is widely concerned. In this system, the accurate positions of the beacons are the key to ensure the navigation accuracy. In this paper, we propose a range-only simultaneous localization and mapping (SLAM) method for underwater positioning system with uncertain positions of the beacons. First, the kinematic model of AUV and the range-only measurement model are established. Then, according to these two models, we present a SLAM framework for beacon-aided navigation system. Further, an EKF-SLAM algorithm is introduced to simultaneously estimate the positions of AUV and beacons. Finally, simulation results verifies the effectiveness of this algorithm.