Next Article in Journal
Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks
Next Article in Special Issue
Railway Crossing Risk Area Detection Using Linear Regression and Terrain Drop Compensation Techniques
Previous Article in Journal
Audio-Visual Perception System for a Humanoid Robotic Head
Previous Article in Special Issue
An Optimal Current Observer for Predictive Current Controlled Buck DC-DC Converters
Sensors 2014, 14(6), 9546-9561; doi:10.3390/s140609546

Robust Sensing of Approaching Vehicles Relying on Acoustic Cues

1,* , 2
1 Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu, Fukuoka 804-8550, Japan 2 Nissan Motor Co., Ltd., 1-1 Aoyama, Morinosato, Atsugi, Kanagawa 243-0123, Japan 3 National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan 4 The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
* Author to whom correspondence should be addressed.
Received: 14 March 2014 / Revised: 22 May 2014 / Accepted: 26 May 2014 / Published: 30 May 2014
View Full-Text   |   Download PDF [596 KB, 21 June 2014; original version 21 June 2014]   |   Browse Figures


The latest developments in automobile design have allowed them to be equipped with various sensing devices. Multiple sensors such as cameras and radar systems can be simultaneously used for active safety systems in order to overcome blind spots of individual sensors. This paper proposes a novel sensing technique for catching up and tracking an approaching vehicle relying on an acoustic cue. First, it is necessary to extract a robust spatial feature from noisy acoustical observations. In this paper, the spatio-temporal gradient method is employed for the feature extraction. Then, the spatial feature is filtered out through sequential state estimation. A particle filter is employed to cope with a highly non-linear problem. Feasibility of the proposed method has been confirmed with real acoustical observations, which are obtained by microphones outside a cruising vehicle.
Keywords: active safety system; driver support system; acoustical sensing; spatio-temporal gradient method; particle filter active safety system; driver support system; acoustical sensing; spatio-temporal gradient method; particle filter
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
MDPI and ACS Style

Mizumachi, M.; Kaminuma, A.; Ono, N.; Ando, S. Robust Sensing of Approaching Vehicles Relying on Acoustic Cues. Sensors 2014, 14, 9546-9561.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert