{"title":"最小指定割草机型AUV任务的路径跟踪算法","authors":"J. Mare","doi":"10.1109/OCEANSSYD.2010.5603826","DOIUrl":null,"url":null,"abstract":"This paper describes a simple online target point generator algorithm that allows for minimal specification of Autonomous Underwater Vehicle (AUV) missions. The mission pattern is specified through the spatial coordinates of its corners only, requiring minimal mission information storage in order to execute a mission. To follow the mission path the algorithm generates intermediate target points along the desired trajectory based on the current estimated position of the AUV. The performance of the algorithm when implemented and tested in a real AUV is reported.","PeriodicalId":129808,"journal":{"name":"OCEANS'10 IEEE SYDNEY","volume":"460 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Path following algorithm for minimally specified lawn-mower type AUV missions\",\"authors\":\"J. Mare\",\"doi\":\"10.1109/OCEANSSYD.2010.5603826\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a simple online target point generator algorithm that allows for minimal specification of Autonomous Underwater Vehicle (AUV) missions. The mission pattern is specified through the spatial coordinates of its corners only, requiring minimal mission information storage in order to execute a mission. To follow the mission path the algorithm generates intermediate target points along the desired trajectory based on the current estimated position of the AUV. The performance of the algorithm when implemented and tested in a real AUV is reported.\",\"PeriodicalId\":129808,\"journal\":{\"name\":\"OCEANS'10 IEEE SYDNEY\",\"volume\":\"460 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS'10 IEEE SYDNEY\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSSYD.2010.5603826\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS'10 IEEE SYDNEY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSSYD.2010.5603826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Path following algorithm for minimally specified lawn-mower type AUV missions
This paper describes a simple online target point generator algorithm that allows for minimal specification of Autonomous Underwater Vehicle (AUV) missions. The mission pattern is specified through the spatial coordinates of its corners only, requiring minimal mission information storage in order to execute a mission. To follow the mission path the algorithm generates intermediate target points along the desired trajectory based on the current estimated position of the AUV. The performance of the algorithm when implemented and tested in a real AUV is reported.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
