P. Yadav, Aman Sharma, Dion Philip, Boris Alexander
{"title":"使用机器学习和物联网的自动驾驶汽车","authors":"P. Yadav, Aman Sharma, Dion Philip, Boris Alexander","doi":"10.54473/ijtret.2021.5401","DOIUrl":null,"url":null,"abstract":"This paper aims to represent a mini version of self-driving automotive victimization IOT with raspberry pi and Arduino UNO working as a main processor chip, the 8mp high resolution pi camera can offer the specified data and thus the raspberry pi can analyze the data(samples) and it will get trained in pi with neural network and machine learning algorithm which could finish in detection road lanes, traffic lights and thus the automotive can alternate consequently. to boot to these options the automotive can overtake with correct LED indications if it comes across associate obstacle.","PeriodicalId":127327,"journal":{"name":"International Journal Of Trendy Research In Engineering And Technology","volume":"57 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Self Driving Car using Machine Learning and IOT\",\"authors\":\"P. Yadav, Aman Sharma, Dion Philip, Boris Alexander\",\"doi\":\"10.54473/ijtret.2021.5401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to represent a mini version of self-driving automotive victimization IOT with raspberry pi and Arduino UNO working as a main processor chip, the 8mp high resolution pi camera can offer the specified data and thus the raspberry pi can analyze the data(samples) and it will get trained in pi with neural network and machine learning algorithm which could finish in detection road lanes, traffic lights and thus the automotive can alternate consequently. to boot to these options the automotive can overtake with correct LED indications if it comes across associate obstacle.\",\"PeriodicalId\":127327,\"journal\":{\"name\":\"International Journal Of Trendy Research In Engineering And Technology\",\"volume\":\"57 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal Of Trendy Research In Engineering And Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54473/ijtret.2021.5401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal Of Trendy Research In Engineering And Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54473/ijtret.2021.5401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper aims to represent a mini version of self-driving automotive victimization IOT with raspberry pi and Arduino UNO working as a main processor chip, the 8mp high resolution pi camera can offer the specified data and thus the raspberry pi can analyze the data(samples) and it will get trained in pi with neural network and machine learning algorithm which could finish in detection road lanes, traffic lights and thus the automotive can alternate consequently. to boot to these options the automotive can overtake with correct LED indications if it comes across associate obstacle.
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