{"title":"Vehicle localization system based on IR-UWB for V2I applications","authors":"O. Hassan, I. Adly, K. Shehata","doi":"10.1109/ICCES.2013.6707188","DOIUrl":null,"url":null,"abstract":"This paper investigates the implementation of Impulse Radio - Ultra Wide Band (IR-UWB) to locate vehicles in a Vehicle-to-Infrastructure (V2I) network for traffic management application. Localization techniques such as Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Direction of Arrival (DOA) are proposed and tested aiming at better location accuracy. These techniques are evaluated in terms of position error between the actual vehicle's position and the estimated one. The proposed Matlab simulation scenarios consider different vehicle's locations going from one edge to the center then to the other edge of the network, at various ranges from three equally distant roadside units (RSUs) that extend from 1-20m. The evaluation shows that the optimum localization technique will be a hybrid one that combines TDOA and DOA techniques.","PeriodicalId":277807,"journal":{"name":"2013 8th International Conference on Computer Engineering & Systems (ICCES)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Conference on Computer Engineering & Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES.2013.6707188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper investigates the implementation of Impulse Radio - Ultra Wide Band (IR-UWB) to locate vehicles in a Vehicle-to-Infrastructure (V2I) network for traffic management application. Localization techniques such as Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Direction of Arrival (DOA) are proposed and tested aiming at better location accuracy. These techniques are evaluated in terms of position error between the actual vehicle's position and the estimated one. The proposed Matlab simulation scenarios consider different vehicle's locations going from one edge to the center then to the other edge of the network, at various ranges from three equally distant roadside units (RSUs) that extend from 1-20m. The evaluation shows that the optimum localization technique will be a hybrid one that combines TDOA and DOA techniques.