D. Brutzman, M. Burns, M. Campbell, D. Davis, T. Healey, M. Holden, B. Leonhardt, D. Marco, D. McClarin, B. McGhee, R. Whalen
{"title":"NPS Phoenix AUV software integration and in-water testing","authors":"D. Brutzman, M. Burns, M. Campbell, D. Davis, T. Healey, M. Holden, B. Leonhardt, D. Marco, D. McClarin, B. McGhee, R. Whalen","doi":"10.1109/AUV.1996.532405","DOIUrl":null,"url":null,"abstract":"The NPS Phoenix autonomous underwater vehicle (AUV) is a student research testbed for shallow-water minefield mapping missions. We discuss implementation of the execution, tactical and strategic levels of the rational behavior model robot architecture. Simulation-based design using an underwater virtual world has been a crucial advantage permitting rapid development of disparate software and hardware modules. Details are provided on process coordination, navigation, real-time sonar classification, path replanning around detected obstacles, networking, sonar and hydrodynamics modeling, and distributable computer graphics rendering. In-water experimental results are presented and evaluated.","PeriodicalId":274258,"journal":{"name":"Proceedings of Symposium on Autonomous Underwater Vehicle Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Symposium on Autonomous Underwater Vehicle Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUV.1996.532405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
The NPS Phoenix autonomous underwater vehicle (AUV) is a student research testbed for shallow-water minefield mapping missions. We discuss implementation of the execution, tactical and strategic levels of the rational behavior model robot architecture. Simulation-based design using an underwater virtual world has been a crucial advantage permitting rapid development of disparate software and hardware modules. Details are provided on process coordination, navigation, real-time sonar classification, path replanning around detected obstacles, networking, sonar and hydrodynamics modeling, and distributable computer graphics rendering. In-water experimental results are presented and evaluated.