{"title":"基于势场的船舶路径规划新算法","authors":"A. Lazarowska","doi":"10.1109/MMAR.2018.8486119","DOIUrl":null,"url":null,"abstract":"The paper introduces a new path planning method for ships. It is applied to calculate a safe trajectory for a ship in a collision situation at sea. The algorithm takes into account both static (lands, shallows) and dynamic obstacles (encountered ships) and returns a solution in near-real time. The algorithm is inspired by the Artificial Potential Field method and uses a general concept of this approach. The paper presents the description of a new method and results of simulation studies concerning simple and more complex navigational situations. Results demonstrate the effectiveness of proposed method for ships path planning.","PeriodicalId":201658,"journal":{"name":"2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A New Potential Field Inspired Path Planning Algorithm for Ships\",\"authors\":\"A. Lazarowska\",\"doi\":\"10.1109/MMAR.2018.8486119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper introduces a new path planning method for ships. It is applied to calculate a safe trajectory for a ship in a collision situation at sea. The algorithm takes into account both static (lands, shallows) and dynamic obstacles (encountered ships) and returns a solution in near-real time. The algorithm is inspired by the Artificial Potential Field method and uses a general concept of this approach. The paper presents the description of a new method and results of simulation studies concerning simple and more complex navigational situations. Results demonstrate the effectiveness of proposed method for ships path planning.\",\"PeriodicalId\":201658,\"journal\":{\"name\":\"2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMAR.2018.8486119\",\"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 23rd International Conference on Methods & Models in Automation & Robotics (MMAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR.2018.8486119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Potential Field Inspired Path Planning Algorithm for Ships
The paper introduces a new path planning method for ships. It is applied to calculate a safe trajectory for a ship in a collision situation at sea. The algorithm takes into account both static (lands, shallows) and dynamic obstacles (encountered ships) and returns a solution in near-real time. The algorithm is inspired by the Artificial Potential Field method and uses a general concept of this approach. The paper presents the description of a new method and results of simulation studies concerning simple and more complex navigational situations. Results demonstrate the effectiveness of proposed method for ships path planning.