{"title":"基于Bezier曲线和动态约束的全向车辆全局路径规划","authors":"Han Xiong, Huasong Min","doi":"10.1109/FSKD.2013.6816268","DOIUrl":null,"url":null,"abstract":"This paper presents a global path planning method for omnidirectional vehicles. The method plans a smooth and optimal path in polygonal obstacle environment, determining the velocity and trajectory by dynamic constrains of omnidirectional vehicles. The results of simulation have demonstrated the improvement of trajectory generation in terms of motion time and path length compared to potential field method and A* algorithm.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Global path planning for omnidirectional vehicles based on Bezier curve and dynamic constraints\",\"authors\":\"Han Xiong, Huasong Min\",\"doi\":\"10.1109/FSKD.2013.6816268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a global path planning method for omnidirectional vehicles. The method plans a smooth and optimal path in polygonal obstacle environment, determining the velocity and trajectory by dynamic constrains of omnidirectional vehicles. The results of simulation have demonstrated the improvement of trajectory generation in terms of motion time and path length compared to potential field method and A* algorithm.\",\"PeriodicalId\":368964,\"journal\":{\"name\":\"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2013.6816268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2013.6816268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Global path planning for omnidirectional vehicles based on Bezier curve and dynamic constraints
This paper presents a global path planning method for omnidirectional vehicles. The method plans a smooth and optimal path in polygonal obstacle environment, determining the velocity and trajectory by dynamic constrains of omnidirectional vehicles. The results of simulation have demonstrated the improvement of trajectory generation in terms of motion time and path length compared to potential field method and A* algorithm.