{"title":"用于自动驾驶汽车演进的汽车视频数据采集系统的实现","authors":"Igor Kolak, Ž. Lukač, M. Knezic, Stefan Končar","doi":"10.1109/ZINC50678.2020.9161439","DOIUrl":null,"url":null,"abstract":"Automotive vision systems represent a fast-growing application area and offer the potential of significant enhancements to automotive safety. In order to train ADAS (Advanced driver-assistance systems) algorithms with real-world data, high amount of video data needs to be captured. In this paper, we present one solution to capture high resolution and high frequency video data. Specifically, we capture 2 MPx (Megapixel) video data at 60 FPS (Frames per second) without compression and store it in real-time for later reproduction.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"31 3","pages":"160-164"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Realization of automotive video data acquisition system for usage in evolution of autonomous vehicles\",\"authors\":\"Igor Kolak, Ž. Lukač, M. Knezic, Stefan Končar\",\"doi\":\"10.1109/ZINC50678.2020.9161439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automotive vision systems represent a fast-growing application area and offer the potential of significant enhancements to automotive safety. In order to train ADAS (Advanced driver-assistance systems) algorithms with real-world data, high amount of video data needs to be captured. In this paper, we present one solution to capture high resolution and high frequency video data. Specifically, we capture 2 MPx (Megapixel) video data at 60 FPS (Frames per second) without compression and store it in real-time for later reproduction.\",\"PeriodicalId\":6731,\"journal\":{\"name\":\"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"volume\":\"31 3\",\"pages\":\"160-164\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ZINC50678.2020.9161439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC50678.2020.9161439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realization of automotive video data acquisition system for usage in evolution of autonomous vehicles
Automotive vision systems represent a fast-growing application area and offer the potential of significant enhancements to automotive safety. In order to train ADAS (Advanced driver-assistance systems) algorithms with real-world data, high amount of video data needs to be captured. In this paper, we present one solution to capture high resolution and high frequency video data. Specifically, we capture 2 MPx (Megapixel) video data at 60 FPS (Frames per second) without compression and store it in real-time for later reproduction.