Ernő Horváth, C. Pozna, P. Kőrös, Csaba Hajdu, Á. Ballagi
{"title":"Theoretical background and application of multiple goal pursuit trajectory follower","authors":"Ernő Horváth, C. Pozna, P. Kőrös, Csaba Hajdu, Á. Ballagi","doi":"10.33927/hjic-2020-03","DOIUrl":null,"url":null,"abstract":"Autonomous and self-driving technology is a rapidly emerging field among automotive-related companies and academic research institutes. The main challenges include sensory perception, prediction, trajectory planning and trajectory execution. The current paper introduces a design strategy and the mathematical background of the optimization problem with regard to the multiple goal pure pursuit algorithm. The aim of the algorithm is to provide a low degree of computational complexity and, therefore, a fast trajectory-tracking approach. Finally, in terms of our approach, not only the theoretical questions but the application challenges will be described as well.","PeriodicalId":13010,"journal":{"name":"Hungarian Journal of Industrial Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hungarian Journal of Industrial Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33927/hjic-2020-03","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
Autonomous and self-driving technology is a rapidly emerging field among automotive-related companies and academic research institutes. The main challenges include sensory perception, prediction, trajectory planning and trajectory execution. The current paper introduces a design strategy and the mathematical background of the optimization problem with regard to the multiple goal pure pursuit algorithm. The aim of the algorithm is to provide a low degree of computational complexity and, therefore, a fast trajectory-tracking approach. Finally, in terms of our approach, not only the theoretical questions but the application challenges will be described as well.