{"title":"一种基于声纳的auv避障系统","authors":"G. Conte, S. Zanoli","doi":"10.1109/AUV.1994.518611","DOIUrl":null,"url":null,"abstract":"In this paper we describe a sonar based, collision avoidance module for autonomous underwater vehicle, developed as part of a more complex navigation and guidance system. Its main features are the use of Kalman filters in evaluating both the motion of the detected obstacles and the risk of collision, and the possibility of working at two different levels of abstraction, according to the characteristics of the situation.","PeriodicalId":231222,"journal":{"name":"Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV'94)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A sonar based obstacle avoidance system for AUVs\",\"authors\":\"G. Conte, S. Zanoli\",\"doi\":\"10.1109/AUV.1994.518611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a sonar based, collision avoidance module for autonomous underwater vehicle, developed as part of a more complex navigation and guidance system. Its main features are the use of Kalman filters in evaluating both the motion of the detected obstacles and the risk of collision, and the possibility of working at two different levels of abstraction, according to the characteristics of the situation.\",\"PeriodicalId\":231222,\"journal\":{\"name\":\"Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV'94)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV'94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUV.1994.518611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUV.1994.518611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we describe a sonar based, collision avoidance module for autonomous underwater vehicle, developed as part of a more complex navigation and guidance system. Its main features are the use of Kalman filters in evaluating both the motion of the detected obstacles and the risk of collision, and the possibility of working at two different levels of abstraction, according to the characteristics of the situation.