{"title":"Ethernet video analyzer for vehicle","authors":"Hela Lajmi, H. M. Kammoun, A. Alimi","doi":"10.1109/ICCVE.2014.7297622","DOIUrl":null,"url":null,"abstract":"The great raise in the number of Electronic Control Units (ECUs) transmitting video flows (cameras) and networking vehicular technologies has caused a raised amount of exchanged video data on in-car network. Besides, the real-time audio and video based driver assistance systems have increased swiftly. These developments have imposed new requisites in terms of data rates, efficiency, performance, capacity, etc. To date, the interconnection of in-car stream oriented tools has been accomplished by several automotive networks with restricted transmission capacities. Since IP over Ethernet affords fine conditions for video streaming by recommending high transmission capacities, modern BMW cars exploit Ethernet BroadR-Reach for connecting automotive cameras. In this paper, we will present the Ethernet video analyzer tool that record, store, decode and display the video flow for further tasks such as statistics and camera performance evaluation.","PeriodicalId":171304,"journal":{"name":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE.2014.7297622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The great raise in the number of Electronic Control Units (ECUs) transmitting video flows (cameras) and networking vehicular technologies has caused a raised amount of exchanged video data on in-car network. Besides, the real-time audio and video based driver assistance systems have increased swiftly. These developments have imposed new requisites in terms of data rates, efficiency, performance, capacity, etc. To date, the interconnection of in-car stream oriented tools has been accomplished by several automotive networks with restricted transmission capacities. Since IP over Ethernet affords fine conditions for video streaming by recommending high transmission capacities, modern BMW cars exploit Ethernet BroadR-Reach for connecting automotive cameras. In this paper, we will present the Ethernet video analyzer tool that record, store, decode and display the video flow for further tasks such as statistics and camera performance evaluation.