{"title":"基于fpga的“ad-refkit”自动驾驶图像识别与远程更新","authors":"Hyuga Hashimoto, Ryoko Naka, Yasutaka Wada","doi":"10.1109/ICFPT52863.2021.9609852","DOIUrl":null,"url":null,"abstract":"This paper explains the ongoing development of an FPGA-based image recognition system for an autonomous driving robot car for the FPT'21 Design Competition. We are developing an FPGA-based image recognition on “ad-refkit” equipped with a Zybo-Z7 board to realize two main functionalities: 1) to provide recognition results in the actual environment of the contest through the Internet and 2) to be updated remotely based on the results. With these functionalities, we can realize high-performance and low-power systems using an FPGA.","PeriodicalId":376220,"journal":{"name":"2021 International Conference on Field-Programmable Technology (ICFPT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An FPGA-Based Image Recognition with Remote Update Functions for Autonomous Driving on “ad-refkit”\",\"authors\":\"Hyuga Hashimoto, Ryoko Naka, Yasutaka Wada\",\"doi\":\"10.1109/ICFPT52863.2021.9609852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explains the ongoing development of an FPGA-based image recognition system for an autonomous driving robot car for the FPT'21 Design Competition. We are developing an FPGA-based image recognition on “ad-refkit” equipped with a Zybo-Z7 board to realize two main functionalities: 1) to provide recognition results in the actual environment of the contest through the Internet and 2) to be updated remotely based on the results. With these functionalities, we can realize high-performance and low-power systems using an FPGA.\",\"PeriodicalId\":376220,\"journal\":{\"name\":\"2021 International Conference on Field-Programmable Technology (ICFPT)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Field-Programmable Technology (ICFPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFPT52863.2021.9609852\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Field-Programmable Technology (ICFPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFPT52863.2021.9609852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An FPGA-Based Image Recognition with Remote Update Functions for Autonomous Driving on “ad-refkit”
This paper explains the ongoing development of an FPGA-based image recognition system for an autonomous driving robot car for the FPT'21 Design Competition. We are developing an FPGA-based image recognition on “ad-refkit” equipped with a Zybo-Z7 board to realize two main functionalities: 1) to provide recognition results in the actual environment of the contest through the Internet and 2) to be updated remotely based on the results. With these functionalities, we can realize high-performance and low-power systems using an FPGA.
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