H. H. Mouane, R. Allaoui, S. Mars, I. El Hajjouji, Z. Asrih, A. El mourabit, A. Ezzine
{"title":"基于fpga的道路标志检测系统","authors":"H. H. Mouane, R. Allaoui, S. Mars, I. El Hajjouji, Z. Asrih, A. El mourabit, A. Ezzine","doi":"10.1109/EITECH.2017.8255240","DOIUrl":null,"url":null,"abstract":"We present an FPGA-based system for road signs detection. Using monocular vision, our system consists of two main steps: color segmentation and shapes detection using Hough transform. High level synthesis tool system generator from Xilinx was used to implement the architecture. Co-simulation results show the functionality of the system.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"FPGA-based system for the road signs detection\",\"authors\":\"H. H. Mouane, R. Allaoui, S. Mars, I. El Hajjouji, Z. Asrih, A. El mourabit, A. Ezzine\",\"doi\":\"10.1109/EITECH.2017.8255240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an FPGA-based system for road signs detection. Using monocular vision, our system consists of two main steps: color segmentation and shapes detection using Hough transform. High level synthesis tool system generator from Xilinx was used to implement the architecture. Co-simulation results show the functionality of the system.\",\"PeriodicalId\":447139,\"journal\":{\"name\":\"2017 International Conference on Electrical and Information Technologies (ICEIT)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Electrical and Information Technologies (ICEIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EITECH.2017.8255240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical and Information Technologies (ICEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EITECH.2017.8255240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present an FPGA-based system for road signs detection. Using monocular vision, our system consists of two main steps: color segmentation and shapes detection using Hough transform. High level synthesis tool system generator from Xilinx was used to implement the architecture. Co-simulation results show the functionality of the system.