{"title":"自主水下航行器水下极点检测覆盖路径规划","authors":"Y. S. Song, M. Arshad","doi":"10.1109/I2CACIS.2016.7885320","DOIUrl":null,"url":null,"abstract":"This paper presents a pre-mission coverage path planning specifically for visual inspection of a well-characterized underwater pole using an autonomous underwater vehicle. The target environment is modelled as a planar map for easy path planning. Various inspection paths are constructed based on the survey of current available coverage trajectories. Then, all the designed paths are analyzed to find a time optimal path among them which is able to provide complete coverage on the underwater pole surface while minimize the operational time needed. A robust property is added into the planned path to achieve robustness against the position uncertainty of autonomous underwater vehicle.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Coverage path planning for underwater pole inspection using an autonomous underwater vehicle\",\"authors\":\"Y. S. Song, M. Arshad\",\"doi\":\"10.1109/I2CACIS.2016.7885320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a pre-mission coverage path planning specifically for visual inspection of a well-characterized underwater pole using an autonomous underwater vehicle. The target environment is modelled as a planar map for easy path planning. Various inspection paths are constructed based on the survey of current available coverage trajectories. Then, all the designed paths are analyzed to find a time optimal path among them which is able to provide complete coverage on the underwater pole surface while minimize the operational time needed. A robust property is added into the planned path to achieve robustness against the position uncertainty of autonomous underwater vehicle.\",\"PeriodicalId\":399080,\"journal\":{\"name\":\"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2CACIS.2016.7885320\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CACIS.2016.7885320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coverage path planning for underwater pole inspection using an autonomous underwater vehicle
This paper presents a pre-mission coverage path planning specifically for visual inspection of a well-characterized underwater pole using an autonomous underwater vehicle. The target environment is modelled as a planar map for easy path planning. Various inspection paths are constructed based on the survey of current available coverage trajectories. Then, all the designed paths are analyzed to find a time optimal path among them which is able to provide complete coverage on the underwater pole surface while minimize the operational time needed. A robust property is added into the planned path to achieve robustness against the position uncertainty of autonomous underwater vehicle.