{"title":"基于深度学习的车道检测:方法和数据集","authors":"Junyan Li","doi":"10.5755/j01.itc.52.2.32841","DOIUrl":null,"url":null,"abstract":"Lane detection problem has been considered as an important computer vision task in autonomous driving. While it has received massive research attention in the literature, the problem is not yet fully solved. In this paper, we present a comprehensive literature review for lane detection, especially those with deep learning models. The latest collection of lane detection datasets is presented. We further fill the research gap by proposing a novel lane detection dataset named MudLane, which focuses on the lane detection task on suburban roads.","PeriodicalId":54982,"journal":{"name":"Information Technology and Control","volume":"21 1","pages":"297-308"},"PeriodicalIF":2.0000,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lane Detection with Deep Learning: Methods and Datasets\",\"authors\":\"Junyan Li\",\"doi\":\"10.5755/j01.itc.52.2.32841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lane detection problem has been considered as an important computer vision task in autonomous driving. While it has received massive research attention in the literature, the problem is not yet fully solved. In this paper, we present a comprehensive literature review for lane detection, especially those with deep learning models. The latest collection of lane detection datasets is presented. We further fill the research gap by proposing a novel lane detection dataset named MudLane, which focuses on the lane detection task on suburban roads.\",\"PeriodicalId\":54982,\"journal\":{\"name\":\"Information Technology and Control\",\"volume\":\"21 1\",\"pages\":\"297-308\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Technology and Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.5755/j01.itc.52.2.32841\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Technology and Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.5755/j01.itc.52.2.32841","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Lane Detection with Deep Learning: Methods and Datasets
Lane detection problem has been considered as an important computer vision task in autonomous driving. While it has received massive research attention in the literature, the problem is not yet fully solved. In this paper, we present a comprehensive literature review for lane detection, especially those with deep learning models. The latest collection of lane detection datasets is presented. We further fill the research gap by proposing a novel lane detection dataset named MudLane, which focuses on the lane detection task on suburban roads.
期刊介绍:
Periodical journal covers a wide field of computer science and control systems related problems including:
-Software and hardware engineering;
-Management systems engineering;
-Information systems and databases;
-Embedded systems;
-Physical systems modelling and application;
-Computer networks and cloud computing;
-Data visualization;
-Human-computer interface;
-Computer graphics, visual analytics, and multimedia systems.