Driver Arrival Sensing for Smart Car using WiFi Fine Time Measurements

Xiaolu Zeng, Beibei Wang, K. J. Ray Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Driver arrival sensing which enables the car to detect an approaching driver has been playing an important role in the evolving smart car system. This paper presents a driver arrival sensing scheme based on the fine time measurement (FTM) released in the IEEE S02.11mc protocol. We observe that when the initiating station (ISTA, such as a mobile phone or WiFi client) keeps moving towards the response station (RSTA, usually a WiFi access-point (AP)), there exists a knee point of the WiFi-FTM range estimation after which the variation of the WiFi-FTM range estimations follows a stable trend regardless of the environment. Inspired by such an observation, we propose a joint knee point detection and driver arrival time estimation algorithm based on the trend of WiFi-FTM range estimations. Given the arrival time, the car (RSTA) can determine the right time to start the service requested by the driver. We implement the proposed method using commercial S02.11mc WiFi chipsets and conduct extensive experiments in different parking lots with different testers. The results show that the scheme can achieve geq92.5% accuracy with leq Is arrival time estimation error.

源语言英语
主期刊名2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
41-45
页数5
ISBN(电子版)9789881476883
出版状态已出版 - 7 12月 2020
已对外发布
活动2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Virtual, Auckland, 新西兰
期限: 7 12月 202010 12月 2020

出版系列

姓名2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings

会议

会议2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020
国家/地区新西兰
Virtual, Auckland
时期7/12/2010/12/20

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