Hai Huang, Yang Liu, Jun Guo, Zhiru Yang, Lei Xiang, Bojing Cheng
{"title":"基于Android平台的汽车辅助驾驶行驶距离检测预警系统的研究与实现","authors":"Hai Huang, Yang Liu, Jun Guo, Zhiru Yang, Lei Xiang, Bojing Cheng","doi":"10.1109/ITME53901.2021.00020","DOIUrl":null,"url":null,"abstract":"With the rapid development of mobile phones, it is possible to use computer vision recognition technology on modern smartphones to help detect driving and their distances. This paper studies and implements the detection of pedestrians and vehicles using Yolo on Android platform, and estimates pedestrian or vehicles distances based on its location data, and then implements a vehicle-assisted driving safety warning system.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"14 1","pages":"47-49"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and implementation of driving distance detection and warning system for automobile assisted driving based on Android platform\",\"authors\":\"Hai Huang, Yang Liu, Jun Guo, Zhiru Yang, Lei Xiang, Bojing Cheng\",\"doi\":\"10.1109/ITME53901.2021.00020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of mobile phones, it is possible to use computer vision recognition technology on modern smartphones to help detect driving and their distances. This paper studies and implements the detection of pedestrians and vehicles using Yolo on Android platform, and estimates pedestrian or vehicles distances based on its location data, and then implements a vehicle-assisted driving safety warning system.\",\"PeriodicalId\":6774,\"journal\":{\"name\":\"2021 11th International Conference on Information Technology in Medicine and Education (ITME)\",\"volume\":\"14 1\",\"pages\":\"47-49\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 11th International Conference on Information Technology in Medicine and Education (ITME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITME53901.2021.00020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITME53901.2021.00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and implementation of driving distance detection and warning system for automobile assisted driving based on Android platform
With the rapid development of mobile phones, it is possible to use computer vision recognition technology on modern smartphones to help detect driving and their distances. This paper studies and implements the detection of pedestrians and vehicles using Yolo on Android platform, and estimates pedestrian or vehicles distances based on its location data, and then implements a vehicle-assisted driving safety warning system.