{"title":"Multi-Mode Self-Driving EV Control for Industrial Sites and Logistic Stores","authors":"M. Azab, Bahaaeldin Mohamed A. Moustafa","doi":"10.1109/NILES50944.2020.9257878","DOIUrl":null,"url":null,"abstract":"The paper presents an experimental prototype of multi-mode autonomous self-driving electric vehicle controlled by Raspberry PI card based on Python language. The developed system provides several self-operating modes of operation using different types of sensors (ultrasound distance sensors and infrared sensors). According to multiple experimental testing, the developed system operates successfully under different modes of operation achieving satisfactory response and good tracking accuracy. The developed modes would be employed in industrial sites and logistic stores as autonomous shuttle service.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NILES50944.2020.9257878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper presents an experimental prototype of multi-mode autonomous self-driving electric vehicle controlled by Raspberry PI card based on Python language. The developed system provides several self-operating modes of operation using different types of sensors (ultrasound distance sensors and infrared sensors). According to multiple experimental testing, the developed system operates successfully under different modes of operation achieving satisfactory response and good tracking accuracy. The developed modes would be employed in industrial sites and logistic stores as autonomous shuttle service.
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