Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Traffic congestion recognition is essential for road traffic condition monitoring and improving
transportation operation efficiency. Recent works have proposed using computer vision to …

This paper explores the vehicle detection problem and introduces an improved regional
convolution neural network. The vehicle data (set of images) is first collected, from which the …

In normal intersection scenes, there are many tasks that rely on the recognition of traffic
density, such as adaptive traffic signal control and driving risk detection. Traditional methods …

Traffic density recognition is a computer vision task that involves detecting and estimating
the density of vehicles in a given traffic scene. Traffic jam is a problem regularly faced by the …

Road safety is tackled and an intelligent deep learning framework is proposed in this work,
which includes outlier detection, vehicle detection, and accident estimation. The road state is …

Abstract Software Defined Networking (SDN), as a promising network architecture, has the
potential to replace traditional networks in terms of simplicity of network administration …

This paper presents intersection analysis using computer vision techniques with Simulation
of Urban MObility (SUMO). First, an efficient deep-visual tracking pipeline is proposed by …

The Fourth Industrial Revolution (4IR) has ushered in a new era of efficiency across various
domains, including the management of Road Traffic Congestion (RTC) in metropolitan cities …