Presentation 2014/7/21
Detecting Electric and Hybrid Vehicles Using a Smartphone
MASARU TAKAGI, KOSUKE FUJIMOTO, YOSHIHIRO KAWAHARA, TOHRU ASAMI,
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Abstract(in English) Pedestrians have difficulty in noticing electrical vehicles (EVs) and hybrid vehicles (HVs) approaching from behind quietly. We propose a vehicle detection scheme using a smartphone carried by a pedestrian. We exploit a high frequency switching noise generated by a motor unit in HVs and EVs. In this paper, we propose an approach of machine learning which is robust over the ambient noise, vehicle type and vehicle speed. In our evaluation, a J48 classifier implemented on the smartphone can tell whether an EV or a HV is approaching or not in the accuracy of 92% and 82% respectively. The first alarm was issued as early as 11.6 seconds before the vehicle approaches the observer the most. The scheme can also tell the vehicle speed and vehicle type.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Electric Vehicles / Hybrid Vehicles / Smartphones / Sensing
Paper # Vol.2014-UBI-43 No.12
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Committee SC
Conference Date 2014/7/21(1days)
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Paper Information
Registration To Services Computing (SC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detecting Electric and Hybrid Vehicles Using a Smartphone
Sub Title (in English)
Keyword(1) Electric Vehicles
Keyword(2) Hybrid Vehicles
Keyword(3) Smartphones
Keyword(4) Sensing
1st Author's Name MASARU TAKAGI
1st Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo()
2nd Author's Name KOSUKE FUJIMOTO
2nd Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo
3rd Author's Name YOSHIHIRO KAWAHARA
3rd Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo
4th Author's Name TOHRU ASAMI
4th Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo
Date 2014/7/21
Paper # Vol.2014-UBI-43 No.12
Volume (vol) vol.114
Number (no) 157
Page pp.pp.-
#Pages 8
Date of Issue