TY - GEN
T1 - Driver Arrival Sensing for Smart Car using WiFi Fine Time Measurements
AU - Zeng, Xiaolu
AU - Wang, Beibei
AU - Ray Liu, K. J.
N1 - Publisher Copyright:
© 2020 APSIPA.
PY - 2020/12/7
Y1 - 2020/12/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85100938926&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85100938926
T3 - 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
SP - 41
EP - 45
BT - 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020
Y2 - 7 December 2020 through 10 December 2020
ER -