Traffic noise assessment using intelligent acoustic sensors (traffic ear) and vehicle telematics data

O Ghaffarpasand, A Almojarkesh, S Morris, E Stephens… - Sensors, 2023 - mdpi.com
Here, we introduce Traffic Ear, an acoustic sensor pack that determines the engine noise of
each passing vehicle without interrupting traffic flow. The device consists of an array of …

Detection of water on road surface with acoustic vector sensor

J Kotus, G Szwoch - Sensors, 2023 - mdpi.com
This paper presents a new approach to detecting the presence of water on a road surface,
employing an acoustic vector sensor. The proposed method is based on sound intensity …

Machine learning applied to acoustic-based road traffic monitoring

K Marciniuk, B Kostek - Procedia Computer Science, 2022 - Elsevier
The motivation behind this study lies in adapting acoustic noise monitoring systems for road
traffic monitoring for driver's safety. Such a system should recognize a vehicle type and …

Vehicle Detection and Classification by Voiceprint Recognition Based on Single Acoustic Sensor under Bridge Expansion Joint

Y Pan, Y Dong, D Wang, J Di… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicle detection and classification (VDC) is a crucial aspect of bridge engineering, as
vehicles exert significant dynamic loads on bridges. Various contact and noncontact …

An advanced multimodal driver-assistance prototype for emergency-vehicle detection

L Gabrielli, L Migliorelli, M Cantarini… - Integrated …, 2024 - content.iospress.com
In the automotive industry, intelligent monitoring systems for advanced human-vehicle
interaction aimed at enhancing the safety of drivers and passengers represent a rapidly …

Acoustic traffic monitoring based on deep neural network trained by stereo-recorded sound and sensor data

T Takahashi, Y Kinoshita… - 2023 31st European …, 2023 - ieeexplore.ieee.org
In this study, we present a machine-learning-based acoustic traffic monitoring aiming to
realize a relatively low-cost system compared with existing traffic sensors. Since vehicles are …

Improved vehicle sub-type classification for acoustic traffic monitoring

M Ashhad, U Goenka, A Jagetia… - 2023 National …, 2023 - ieeexplore.ieee.org
The detection and classification of vehicles on the road is a crucial task for traffic monitoring.
Usually, Computer Vision (CV) algorithms dominate the task of vehicle classification on the …

Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks?

S Damiano, L Bondi, S Ghaffarzadegan… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
In the design of traffic monitoring solutions for optimizing the urban mobility infrastructure,
acoustic vehicle counting models have received attention due to their cost effectiveness and …

Graph-Enhanced Dual-Stream Feature Fusion with Pre-Trained Model for Acoustic Traffic Monitoring

S Fan, F Xiao, W Wang, S Qi, Q Zhu, W Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Microphone array techniques are widely used in sound source localization and smart city
acoustic-based traffic monitoring, but these applications face significant challenges due to …

[PDF][PDF] Deep Acoustic Vehicle Counting Model with Short-Time Homomorphic Deconvolution

Y Park, TW Yeo, B On - 2024 - dcase.community
In the design of urban traffic monitoring solutions aimed at optimizing logistics infrastructure,
acoustic vehicle counting models have gained attention for their cost-effectiveness and …