{"title":"基于Python的自动驾驶汽车控制目标识别系统的FPGA开发","authors":"Hiroki Bingo","doi":"10.1109/FPT.2018.00089","DOIUrl":null,"url":null,"abstract":"As an easy development of autonomous driving requiring enormous calculation and electric power, a scheme using FPGA is proposed. To reduce programming effort, a board enabling employment of Python is used, together with high-level libraries. The feasibility of algorithms (white line detection, human detection, etc.) on the FPGA board are investigated.","PeriodicalId":434541,"journal":{"name":"2018 International Conference on Field-Programmable Technology (FPT)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Development of a Control Target Recognition for Autonomous Vehicle Using FPGA with Python\",\"authors\":\"Hiroki Bingo\",\"doi\":\"10.1109/FPT.2018.00089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As an easy development of autonomous driving requiring enormous calculation and electric power, a scheme using FPGA is proposed. To reduce programming effort, a board enabling employment of Python is used, together with high-level libraries. The feasibility of algorithms (white line detection, human detection, etc.) on the FPGA board are investigated.\",\"PeriodicalId\":434541,\"journal\":{\"name\":\"2018 International Conference on Field-Programmable Technology (FPT)\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Field-Programmable Technology (FPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPT.2018.00089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Field-Programmable Technology (FPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPT.2018.00089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a Control Target Recognition for Autonomous Vehicle Using FPGA with Python
As an easy development of autonomous driving requiring enormous calculation and electric power, a scheme using FPGA is proposed. To reduce programming effort, a board enabling employment of Python is used, together with high-level libraries. The feasibility of algorithms (white line detection, human detection, etc.) on the FPGA board are investigated.