{"title":"Real-time path planning for Autonomous Navigation Systems of Unmanned Surface Vehicles","authors":"A. Lazarowska, A. Żak","doi":"10.1109/MMAR55195.2022.9874267","DOIUrl":null,"url":null,"abstract":"The paper presents results of research on the development of collision avoidance algorithms dedicated for the application in the Autonomous Navigation Systems of Unmanned Surface Vehicles. Autonomous vehicles constitute a dynamically developing area of research. One of the main issues related to this technology is the ability to avoid collisions with obstacles. Deterministic and non-deterministic algorithms developed for the purpose of the Unmanned Surface Vehicle real-time path planning are briefly introduced and results of tests carried out in order to evaluate the proposed methods are presented.","PeriodicalId":169528,"journal":{"name":"2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR55195.2022.9874267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents results of research on the development of collision avoidance algorithms dedicated for the application in the Autonomous Navigation Systems of Unmanned Surface Vehicles. Autonomous vehicles constitute a dynamically developing area of research. One of the main issues related to this technology is the ability to avoid collisions with obstacles. Deterministic and non-deterministic algorithms developed for the purpose of the Unmanned Surface Vehicle real-time path planning are briefly introduced and results of tests carried out in order to evaluate the proposed methods are presented.