Stanislav A. Goll, Sergey S. Luksha, Vladimir S. Leushkin, Alexandr G. Borisov
{"title":"Unmanned ground vehicle local trajectory planning algorithm","authors":"Stanislav A. Goll, Sergey S. Luksha, Vladimir S. Leushkin, Alexandr G. Borisov","doi":"10.1109/MECO.2016.7525771","DOIUrl":null,"url":null,"abstract":"Local trajectory is the base of motion UGV and several algorithms used to calculate desired land robot path. A common approach is to use a 2-D grid based algorithm, such a well-known A*. But problems arise due to specific kinematic of ground vehicle and nonideal movement realisation. In this paper presented an approach to local trajectory planning on base 2-D passability map with considering UGV kinematic constrains and also errors in the implementation of the path, computed for UGV motion.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Local trajectory is the base of motion UGV and several algorithms used to calculate desired land robot path. A common approach is to use a 2-D grid based algorithm, such a well-known A*. But problems arise due to specific kinematic of ground vehicle and nonideal movement realisation. In this paper presented an approach to local trajectory planning on base 2-D passability map with considering UGV kinematic constrains and also errors in the implementation of the path, computed for UGV motion.