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
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(6), 9546-9561; doi:10.3390/s140609546

Robust Sensing of Approaching Vehicles Relying on Acoustic Cues

Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu, Fukuoka 804-8550, Japan
Nissan Motor Co., Ltd., 1-1 Aoyama, Morinosato, Atsugi, Kanagawa 243-0123, Japan
National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
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, uploaded 21 June 2014]   |  


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. View Full-Text
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 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



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