ArticleSensors (Basel, Switzerland)2017
Vehicle Counting and Moving Direction Identification Based on Small-Aperture Microphone Array.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- MELAUDIS: A Large-Scale Benchmark Acoustic Dataset For Intelligent Transportation Systems Research.Scientific data · 2025Article
- Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers.Sensors (Basel, Switzerland) · 2024Article
- An Acoustic Signal Enhancement Method Based on Independent Vector Analysis for Moving Target Classification in the Wild.Sensors (Basel, Switzerland) · 2017Article
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Authors and funding
9 authors.
Funding
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Abstract
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.
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