Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …

Vehicle Classification (VC) is a key element of Intelligent Transportation Systems (ITS).
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …

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 …

In step with rapid advancements in computer vision, vehicle classification demonstrates a
considerable potential to reshape intelligent transportation systems. In the last couple of …

As the use of construction robots continues to increase, ensuring safety and productivity
while working alongside human workers becomes crucial. To prevent collisions, robots must …

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 …

Vehicle detection and classification with convolutional neural networks (CNN) is
encouraging and fascinating for intelligent transportation applications. In general, CNN is …

In this paper, we propose a novel iterative multi-task framework to complete the
segmentation mask of an occluded vehicle and recover the appearance of its invisible parts …

For intelligent transportation systems (ITSs) and planning that makes use of exact location
intelligence, accurate vehicle classification, and tracking are topics that are becoming more …

Vehicle type classification plays an essential role in developing an intelligent transportation
system (ITS). Based on the modern accomplishments of deep learning (DL) on image …