Vehicle Classification Based on FBG Sensor Arrays Using Neural Networks [PDF]
Sensors, 2020 This article is focused on the automatic classification of passing vehicles through an experimental platform using optical sensor arrays. The amount of data generated from various sensor systems is growing proportionally every year.
Michal Frniak +5 more
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Deep Learning-Based Vehicle Classification for Low Quality Images [PDF]
Sensors, 2022 This study proposes a simple convolutional neural network (CNN)-based model for vehicle classification in low resolution surveillance images collected by a standard security camera installed distant from a traffic scene.
Sumeyra Tas +5 more
doaj +2 more sources
Cross-Voting SVM Method for Multiple Vehicle Classification in Wireless Sensor Networks [PDF]
Sensors, 2018 A novel multi-class classification method named the voting-cross support vector machine (SVM) method was proposed in this study, for classifying vehicle targets in wireless sensor networks.
Heng Zhang, Zhongming Pan
doaj +2 more sources
A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques [PDF]
Sensors, 2020 Vehicle classification (VC) is an underlying approach in an intelligent transportation system and is widely used in various applications like the monitoring of traffic flow, automated parking systems, and security enforcement.
Hoofar Shokravi +5 more
doaj +2 more sources
Challenges of Vehicle Classification Using Acoustics
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Automated acoustic classification of vehicles is a challenging problem with many variables. Vehicles produce complex sounds from many sources, sound signatures vary between similar vehicles, and background noise has a large impact on audio data.
Raiden Evans +2 more
doaj +2 more sources
An integrated approach for advanced vehicle classification. [PDF]
PLoS OneThis study is dedicated to addressing the trade-off between receptive field size and computational efficiency in low-level vision. Conventional neural networks (CNNs) usually expand the receptive field by adding layers or inflation filtering, which often leads to high computational costs.
Liu R, Wen S, Xing Y.
europepmc +4 more sources
Acoustic–Seismic Mixed Feature Extraction Based on Wavelet Transform for Vehicle Classification in Wireless Sensor Networks [PDF]
Sensors, 2018 An acoustic–seismic mixed feature extraction method based on the wavelet coefficient energy ratio (WCER) of the target signal is proposed in this study for classifying vehicle targets in wireless sensor networks.
Heng Zhang, Zhongming Pan, Wenna Zhang
doaj +2 more sources
Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network [PDF]
Sensors, 2022 Bipul Neupane +2 more
exaly +2 more sources
An integrated system for vehicle tracking and classification
Expert Systems With Applications, 2015 We present a unified system for vehicle tracking and classification which has been developed with a data-driven approach on real-world data. The main purpose of the system is the tracking of the vehicles to understand lane changes, gates transits and other behaviors useful for traffic analysis.
Sebastiano Battiato +2 more
exaly +3 more sources
VEHICLE CLASSIFICATION USING THE CONVOLUTION NEURAL NETWORK APPROACH [PDF]
Scientific Journal of Silesian University of Technology. Series Transport, 2021 We present vehicle detection classification using the Convolution Neural Network (CNN) of the deep learning approach. The automatic vehicle classification for traffic surveillance video systems is challenging for the Intelligent Transportation System ...
Janak TRIVEDI +2 more
doaj +1 more source