Stefan Končar, Ž. Lukač, Nevena Stojanović, Igor Kolak
{"title":"Development of Automotive Video Logger HIL Device for ADAS/AD Algorithms Development and Testing","authors":"Stefan Končar, Ž. Lukač, Nevena Stojanović, Igor Kolak","doi":"10.1109/ZINC50678.2020.9161812","DOIUrl":null,"url":null,"abstract":"Automotive industry is rapidly rising last couple of years and fully autonomous driving is the final goal for many car manufacturers. As we can see, Advanced Driver Assistance Systems (ADAS) are becoming increasingly available in many vehicles, in order to improve safety and comfort. Also, the automotive industry is investing a huge funds in order to reach level 4 and level 5 of Autonomous Driving (AD). Before starting mass production, all these vision-based systems must be properly tested, which means a lot of tests with real-life scenarios must be conducted. Different driving scenarios, with different conditions, must be taken into account. All this tests are time-consuming, and therefore money-consuming, in order to be performed in real traffic. Most of these tests can be replaced with appropriate HIL simulations. In this paper we will present one complete solution for Automotive Video Logger device, HIL (Hardware-in-the-Loop) a device of modular and expandable architecture. This kind of device can significantly simplify and reduce time for algorithms development which are necessary for autonomous driving.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"2011 1","pages":"295-300"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC50678.2020.9161812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Automotive industry is rapidly rising last couple of years and fully autonomous driving is the final goal for many car manufacturers. As we can see, Advanced Driver Assistance Systems (ADAS) are becoming increasingly available in many vehicles, in order to improve safety and comfort. Also, the automotive industry is investing a huge funds in order to reach level 4 and level 5 of Autonomous Driving (AD). Before starting mass production, all these vision-based systems must be properly tested, which means a lot of tests with real-life scenarios must be conducted. Different driving scenarios, with different conditions, must be taken into account. All this tests are time-consuming, and therefore money-consuming, in order to be performed in real traffic. Most of these tests can be replaced with appropriate HIL simulations. In this paper we will present one complete solution for Automotive Video Logger device, HIL (Hardware-in-the-Loop) a device of modular and expandable architecture. This kind of device can significantly simplify and reduce time for algorithms development which are necessary for autonomous driving.