{"title":"动态优化在自动驾驶汽车运动控制中的应用","authors":"M. Brzozowski, Ł. Drąg","doi":"10.20858/tp.2023.18.2.18","DOIUrl":null,"url":null,"abstract":"This article presents a procedure algorithm and vehicle dynamics models that can be applied to planning and controlling the motion of an autonomous car. The simulation results obtained using a simplified bicycle model with three degrees of freedom and a spatial model with 10 degrees of freedom were compared. The numerical efficiency of both models was evaluated. The task of dynamic optimization was formulated, the solution to which enables the implementation of lane change and overtaking maneuvers. The task was solved using the bicycle model, and the results (implementation of the intended maneuver) were validated using the spatial model.","PeriodicalId":45193,"journal":{"name":"Transport Problems","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"APPLICATION OF DYNAMIC OPTIMIZATION FOR AUTONOMOUS VEHICLE MOTION CONTROL\",\"authors\":\"M. Brzozowski, Ł. Drąg\",\"doi\":\"10.20858/tp.2023.18.2.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a procedure algorithm and vehicle dynamics models that can be applied to planning and controlling the motion of an autonomous car. The simulation results obtained using a simplified bicycle model with three degrees of freedom and a spatial model with 10 degrees of freedom were compared. The numerical efficiency of both models was evaluated. The task of dynamic optimization was formulated, the solution to which enables the implementation of lane change and overtaking maneuvers. The task was solved using the bicycle model, and the results (implementation of the intended maneuver) were validated using the spatial model.\",\"PeriodicalId\":45193,\"journal\":{\"name\":\"Transport Problems\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport Problems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20858/tp.2023.18.2.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Problems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20858/tp.2023.18.2.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
APPLICATION OF DYNAMIC OPTIMIZATION FOR AUTONOMOUS VEHICLE MOTION CONTROL
This article presents a procedure algorithm and vehicle dynamics models that can be applied to planning and controlling the motion of an autonomous car. The simulation results obtained using a simplified bicycle model with three degrees of freedom and a spatial model with 10 degrees of freedom were compared. The numerical efficiency of both models was evaluated. The task of dynamic optimization was formulated, the solution to which enables the implementation of lane change and overtaking maneuvers. The task was solved using the bicycle model, and the results (implementation of the intended maneuver) were validated using the spatial model.
期刊介绍:
Journal Transport Problems is a peer-reviewed open-access scientific journal, owned by Silesian University of Technology and has more than 10 years of experience. The editorial staff includes mainly employees of the Faculty of Transport. Editorial Board performs the functions of current work related to the publication of the next issues of the journal. The International Programming Council coordinates the long-term editorial policy the journal. The Council consists of leading scientists of the world, who deal with the problems of transport. This Journal is a source of information and research results in the transportation and communications science: transport research, transport technology, transport economics, transport logistics, transport law.