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Sensors 2017, 17(5), 1089;

Vehicle Counting and Moving Direction Identification Based on Small-Aperture Microphone Array

Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China
University of Chinese Academy of Sciences, Beijing 100049, China
School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China
IBM-Research China Labotatory, Beijing 100094, China
Author to whom correspondence should be addressed.
Academic Editors: Xiaoning Jiang and Chao Zhang
Received: 9 March 2017 / Revised: 14 April 2017 / Accepted: 9 May 2017 / Published: 10 May 2017
(This article belongs to the Special Issue Acoustic Sensing and Ultrasonic Drug Delivery)
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The varying trend of a moving vehicle’s angles provides much important intelligence for an unattended ground sensor (UGS) monitoring system. The present study investigates the capabilities of a small-aperture microphone array (SAMA) based system to identify the number and moving direction of vehicles travelling on a previously established route. In this paper, a SAMA-based acoustic monitoring system, including the system hardware architecture and algorithm mechanism, is designed as a single node sensor for the application of UGS. The algorithm is built on the varying trend of a vehicle’s bearing angles around the closest point of approach (CPA). We demonstrate the effectiveness of our proposed method with our designed SAMA-based monitoring system in various experimental sites. The experimental results in harsh conditions validate the usefulness of our proposed UGS monitoring system. View Full-Text
Keywords: vehicle counting; moving direction; small-aperture microphone array; UGS vehicle counting; moving direction; small-aperture microphone array; UGS

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Zu, X.; Zhang, S.; Guo, F.; Zhao, Q.; Zhang, X.; You, X.; Liu, H.; Li, B.; Yuan, X. Vehicle Counting and Moving Direction Identification Based on Small-Aperture Microphone Array. Sensors 2017, 17, 1089.

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