CrowdParking: Crowdsourcing based parking navigation in autonomous driving era

Chao Zhu, Abbas Mehrabi, Yu Xiao, Yinghong Wen

科研成果: 书/报告/会议事项章节会议稿件同行评审

12 引用 (Scopus)

摘要

Finding 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.

源语言英语
主期刊名Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
出版商Institute of Electrical and Electronics Engineers Inc.
1401-1405
页数5
ISBN(电子版)9781728105635
DOI
出版状态已出版 - 9月 2019
已对外发布
活动21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019 - Granada, 西班牙
期限: 9 9月 201913 9月 2019

出版系列

姓名Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019

会议

会议21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
国家/地区西班牙
Granada
时期9/09/1913/09/19

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