CrowdParking: Crowdsourcing based parking navigation in autonomous driving era

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorZhu, Chaoen_US
dc.contributor.authorMehrabi, Abbasen_US
dc.contributor.authorXiao, Yuen_US
dc.contributor.authorWen, Yinghongen_US
dc.contributor.departmentMobile Cloud Computingen_US
dc.contributor.departmentProfessorship Ylä-Jääski A.en_US
dc.contributor.departmentBeijing Jiaotong Universityen_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.departmentDepartment of Computer Scienceen
dc.date.accessioned2020-01-02T14:04:25Z
dc.date.available2020-01-02T14:04:25Z
dc.date.issued2019-09-01en_US
dc.description.abstractFinding a free road side parking in urban area is considered as one of the most challenging driving tasks, especially for the autonomous vehicles with limited sight (e.g. short range sensing) and brain (compared with human beings). To assist autonomous vehicle parking in urban area, we propose a novel parking scheme CrowdParking, which applies crowdsourcing and vehicular fog computing to collect parking information from vehicles, locate free parking spaces from crowdsourced data. We also explore the variation of parking availability from a real world data set and find that the availability of specific parking lot has certain relationship with the traffic condition of nearby roads. Based on the observations, we propose the vision of estimating the parking availability with taking into account the traffic condition in neighborhood.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.extent1401-1405
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationZhu , C , Mehrabi , A , Xiao , Y & Wen , Y 2019 , CrowdParking: Crowdsourcing based parking navigation in autonomous driving era . in Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019 . , 8879201 , IEEE , pp. 1401-1405 , International Conference on Electromagnetics in Advanced Applications , Granada , Spain , 09/09/2019 . https://doi.org/10.1109/ICEAA.2019.8879201en
dc.identifier.doi10.1109/ICEAA.2019.8879201en_US
dc.identifier.isbn9781728105635
dc.identifier.otherPURE UUID: 940120d4-0f6c-41dc-b43b-0feb3ec2f29den_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/940120d4-0f6c-41dc-b43b-0feb3ec2f29den_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85074905959&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/38942515/SCI_Zhu_et.al_CrowdParking.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/42133
dc.identifier.urnURN:NBN:fi:aalto-202001021244
dc.language.isoenen
dc.relation.ispartofInternational Conference on Electromagnetics in Advanced Applicationsen
dc.relation.ispartofseriesProceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019en
dc.rightsopenAccessen
dc.titleCrowdParking: Crowdsourcing based parking navigation in autonomous driving eraen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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