M. Komorkiewicz, Krzysztof Turek, P. Skruch, T. Kryjak, M. Gorgon
{"title":"基于fpga的环内硬件环境,使用视频注入概念,用于汽车应用中基于摄像头的系统","authors":"M. Komorkiewicz, Krzysztof Turek, P. Skruch, T. Kryjak, M. Gorgon","doi":"10.1109/DASIP.2016.7853817","DOIUrl":null,"url":null,"abstract":"In this paper an FPGA-based video HiL (Hardwarein-the-Loop) solution is presented. It was designed to evaluate an of-the-shelf ADAS (Advanced Driver Assistance System) smart camera consisting of a video sensor (so-called forward looking camera (FLC)) and video processing unit. It allows to directly capture and store on a PC the video stream from the sensor. Then, the pre-recorded sequences can be directly injected into the video processing unit. Therefore, it is possible to evaluate the vision system in the laboratory under conditions almost identical to those present during real test drives. Moreover, all experiments are fully repeatable. The proposed system supports video streams with resolution 1280×960 @ 30 fps in the RCCC (Red/Clear)1 colour system. It is used in research and development projects in Delphi Technical Center Krakow.","PeriodicalId":6494,"journal":{"name":"2016 Conference on Design and Architectures for Signal and Image Processing (DASIP)","volume":"38 1","pages":"183-190"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications\",\"authors\":\"M. Komorkiewicz, Krzysztof Turek, P. Skruch, T. Kryjak, M. Gorgon\",\"doi\":\"10.1109/DASIP.2016.7853817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an FPGA-based video HiL (Hardwarein-the-Loop) solution is presented. It was designed to evaluate an of-the-shelf ADAS (Advanced Driver Assistance System) smart camera consisting of a video sensor (so-called forward looking camera (FLC)) and video processing unit. It allows to directly capture and store on a PC the video stream from the sensor. Then, the pre-recorded sequences can be directly injected into the video processing unit. Therefore, it is possible to evaluate the vision system in the laboratory under conditions almost identical to those present during real test drives. Moreover, all experiments are fully repeatable. The proposed system supports video streams with resolution 1280×960 @ 30 fps in the RCCC (Red/Clear)1 colour system. It is used in research and development projects in Delphi Technical Center Krakow.\",\"PeriodicalId\":6494,\"journal\":{\"name\":\"2016 Conference on Design and Architectures for Signal and Image Processing (DASIP)\",\"volume\":\"38 1\",\"pages\":\"183-190\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Conference on Design and Architectures for Signal and Image Processing (DASIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASIP.2016.7853817\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Conference on Design and Architectures for Signal and Image Processing (DASIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASIP.2016.7853817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications
In this paper an FPGA-based video HiL (Hardwarein-the-Loop) solution is presented. It was designed to evaluate an of-the-shelf ADAS (Advanced Driver Assistance System) smart camera consisting of a video sensor (so-called forward looking camera (FLC)) and video processing unit. It allows to directly capture and store on a PC the video stream from the sensor. Then, the pre-recorded sequences can be directly injected into the video processing unit. Therefore, it is possible to evaluate the vision system in the laboratory under conditions almost identical to those present during real test drives. Moreover, all experiments are fully repeatable. The proposed system supports video streams with resolution 1280×960 @ 30 fps in the RCCC (Red/Clear)1 colour system. It is used in research and development projects in Delphi Technical Center Krakow.