Vehicle classification in intelligent transport systems: An overview, methods and software perspective

A Gholamhosseinian, J Seitz - IEEE Open Journal of Intelligent …, 2021 - ieeexplore.ieee.org
Vehicle Classification (VC) is a key element of Intelligent Transportation Systems (ITS).
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …

A review on vehicle classification and potential use of smart vehicle-assisted techniques

H Shokravi, H Shokravi, N Bakhary, M Heidarrezaei… - Sensors, 2020 - mdpi.com
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 …

Intelligent traffic monitoring systems for vehicle classification: A survey

M Won - IEEE Access, 2020 - ieeexplore.ieee.org
A traffic monitoring system is an integral part of Intelligent Transportation Systems (ITS). It is
one of the critical transportation infrastructures that transportation agencies invest a huge …

Fine-grained vehicle classification with channel max pooling modified CNNs

Z Ma, D Chang, J **e, Y Ding, S Wen… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have recently shown excellent performance on the
task of fine-grained vehicle classification, where the motivation is to identify the fine-grained …

Dual cross-entropy loss for small-sample fine-grained vehicle classification

X Li, L Yu, D Chang, Z Ma, J Cao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Fine-grained vehicle classification is a challenging topic in computer vision due to the high
intraclass variance and low interclass variance. Recently, considerable progress has been …

Analysis, optimization, and demonstration of a vehicular detection system intended for dynamic wireless charging applications

AN Azad, A Echols, VA Kulyukin… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
To overcome the range limitation associated with electric vehicles (EVs), the emerging
technology of dynamic wireless power transfer (DWPT) can be employed. Electrified road …

Automatic vehicle classification using roadside LiDAR data

J Wu, H Xu, Y Zheng, Y Zhang… - Transportation …, 2019 - journals.sagepub.com
This research presented a new approach for vehicle classification using roadside LiDAR
sensor. Six features (one feature, object height profile, contains 10 sub-features) extracted …

A multiple inductive loop vehicle detection system for heterogeneous and lane-less traffic

SSM Ali, B George, L Vanajakshi… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a novel inductive loop sensor that can detect vehicles under a
heterogeneous and less-lane-disciplined traffic and thus can be used to support a traffic …

Review of IoT sensor systems used for monitoring the road infrastructure

K Micko, P Papcun, I Zolotova - Sensors, 2023 - mdpi.com
An intelligent transportation system is one of the fundamental goals of the smart city concept.
The Internet of Things (IoT) concept is a basic instrument to digitalize and automatize the …

Integration of Weigh-in-Motion (WIM) and inductive signature data for truck body classification

SV Hernandez, A Tok, SG Ritchie - Transportation Research Part C …, 2016 - Elsevier
Transportation agencies tasked with forecasting freight movements, creating and evaluating
policy to mitigate transportation impacts on infrastructure and air quality, and furnishing the …