{"title":"存在障碍物的类车最优路径规划","authors":"T. Martínez-Marín","doi":"10.1109/ITSC.2003.1252667","DOIUrl":null,"url":null,"abstract":"Global optimal path planning of car-like vehicles remains today an open problem especially in the presence of obstacles. In this paper, we propose a method to obtain the optimal motion of a vehicle considering kinematic and obstacle constraints. We employ an efficient algorithm (CACM), based on cell mapping techniques, to find the optimal motion laws of a car-like vehicle. Simulation results are reported to show the satisfactory performance of the method.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Optimal path planning for car-like vehicles in the presence of obstacles\",\"authors\":\"T. Martínez-Marín\",\"doi\":\"10.1109/ITSC.2003.1252667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Global optimal path planning of car-like vehicles remains today an open problem especially in the presence of obstacles. In this paper, we propose a method to obtain the optimal motion of a vehicle considering kinematic and obstacle constraints. We employ an efficient algorithm (CACM), based on cell mapping techniques, to find the optimal motion laws of a car-like vehicle. Simulation results are reported to show the satisfactory performance of the method.\",\"PeriodicalId\":123155,\"journal\":{\"name\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2003.1252667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2003.1252667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal path planning for car-like vehicles in the presence of obstacles
Global optimal path planning of car-like vehicles remains today an open problem especially in the presence of obstacles. In this paper, we propose a method to obtain the optimal motion of a vehicle considering kinematic and obstacle constraints. We employ an efficient algorithm (CACM), based on cell mapping techniques, to find the optimal motion laws of a car-like vehicle. Simulation results are reported to show the satisfactory performance of the method.
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