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 …

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 …

Artificial intelligent systems for vehicle classification: A survey

SH Tan, JH Chuah, CO Chow, J Kanesan… - … Applications of Artificial …, 2024 - Elsevier
Digitalization is revolutionizing our way of life and catalyzing the transformation into smart
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …

Methods for classification of truck trailers using side-fire light detection and ranging (LiDAR) Data

O Sahin, RV Nezafat, M Cetin - Journal of Intelligent Transportation …, 2021 - Taylor & Francis
Classification of vehicles into distinct groups is critical for a number of applications including
freight and commodity flow modeling, pavement management and design, tolling, air quality …

Truck body type classification using a deep representation learning ensemble on 3D point sets

Y Li, KR Allu, Z Sun, AYC Tok, G Feng… - … Research Part C …, 2021 - Elsevier
Understanding the spatiotemporal distribution of commercial vehicles is essential for
facilitating strategic pavement design, freight planning, and policy making. Hence …

Image-based vehicle classification by synergizing features from supervised and self-supervised learning paradigms

S Ma, JJ Yang - Eng, 2023 - mdpi.com
This paper introduces a novel approach to leveraging features learned from both supervised
and self-supervised paradigms, to improve image classification tasks, specifically for vehicle …

LiDAR vehicle point cloud reconstruction framework for Axle-based classification

Y Li, AYC Tok, Z Sun, SG Ritchie… - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
As light detection and ranging (LiDAR) technology rapidly advances, it is becoming
increasingly viable as a solution to collect vehicle classification data. The main challenge of …

A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor

B Kolukisa, VC Yildirim, C Ayyildiz… - Computer Standards & …, 2023 - Elsevier
The identification of vehicle types plays a critical role in Intelligent Transportation Systems. In
this study, battery-operated, easy-to-install, low-cost 3-D magnetic traffic sensors have been …

Deep learning approaches for vehicle type classification with 3-D magnetic sensor

B Kolukisa, VC Yildirim, B Elmas, C Ayyildiz… - Computer Networks, 2022 - Elsevier
Abstract In the Intelligent Transportation Systems, it is crucial to determine the type of
vehicles to improve traffic management, increase human comfort, and enable future …

Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors

JH Syu, JCW Lin, P Biernacki… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Sensors are the foundation to facilitate smart cities, smart grids, and smart transportation,
and distance sensors are especially important for sensing the environment and gathering …