{"title":"基于深度神经网络的移动车辆检测","authors":"A. Soin, M. Chahande","doi":"10.1109/ICETCCT.2017.8280336","DOIUrl":null,"url":null,"abstract":"In recent years, vehicle recognition has become one of the most important applications in the field of intelligent traffic monitoring and management. Vehicles detection on road is a necessary component in many intelligent applications, such as driver assistance systems, automatic toll collection, intelligent parking systems, self-guided vehicles and traffic statistics such as speed, flow and vehicle count. The main goal of our study is to detect the moving vehicles on road for driverless car assistance system. We address the vehicle detection and recognition problems using Deep Neural Networks (DNNs) approach. Our proposed approach outperforms state-of-the art method.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Moving vehicle detection using deep neural network\",\"authors\":\"A. Soin, M. Chahande\",\"doi\":\"10.1109/ICETCCT.2017.8280336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, vehicle recognition has become one of the most important applications in the field of intelligent traffic monitoring and management. Vehicles detection on road is a necessary component in many intelligent applications, such as driver assistance systems, automatic toll collection, intelligent parking systems, self-guided vehicles and traffic statistics such as speed, flow and vehicle count. The main goal of our study is to detect the moving vehicles on road for driverless car assistance system. We address the vehicle detection and recognition problems using Deep Neural Networks (DNNs) approach. Our proposed approach outperforms state-of-the art method.\",\"PeriodicalId\":436902,\"journal\":{\"name\":\"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETCCT.2017.8280336\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETCCT.2017.8280336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moving vehicle detection using deep neural network
In recent years, vehicle recognition has become one of the most important applications in the field of intelligent traffic monitoring and management. Vehicles detection on road is a necessary component in many intelligent applications, such as driver assistance systems, automatic toll collection, intelligent parking systems, self-guided vehicles and traffic statistics such as speed, flow and vehicle count. The main goal of our study is to detect the moving vehicles on road for driverless car assistance system. We address the vehicle detection and recognition problems using Deep Neural Networks (DNNs) approach. Our proposed approach outperforms state-of-the art method.