Vehicle classification in intelligent transport systems: An overview, methods and software perspective
Vehicle Classification (VC) is a key element of Intelligent Transportation Systems (ITS).
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …
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 …
one of the critical transportation infrastructures that transportation agencies invest a huge …
Artificial intelligent systems for vehicle classification: A survey
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 …
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
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 …
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
Understanding the spatiotemporal distribution of commercial vehicles is essential for
facilitating strategic pavement design, freight planning, and policy making. Hence …
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 …
and self-supervised paradigms, to improve image classification tasks, specifically for vehicle …
LiDAR vehicle point cloud reconstruction framework for Axle-based classification
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 …
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
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 …
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
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 …
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 …
and distance sensors are especially important for sensing the environment and gathering …