Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …

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

Vision‐based vehicle detection plays an important role in intelligent transportation systems.
With the fast development of deep convolutional neural networks (CNNs), vision‐based …

Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road
safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection …

Vehicle counting is an important process in the estimation of road traffic density to evaluate
the traffic conditions in intelligent transportation systems. With increased use of cameras in …

In the Intelligent Transportation System (ITS) realm, queue length estimation is one of an
essential yet a challenging task. Queue lengths are important for determining traffic density …

Vehicle identification and detection is an important part of building intelligent transportation.
Various methods have been proposed in this field, but recently the YOLOv8 model has been …

With the increasing number of vehicles, manual security inspections are becoming more
laborious at road checkpoints. To address it, a specialized Road Checkpoints Robot (RCRo) …

Mixed traffic is a common phenomenon in urban environment. For the mixed traffic situation,
the detection of traffic obstacles, including motor vehicle, non‐motor vehicle, and pedestrian …

The application of CCTV cameras for traffic surveillance and monitoring is one effective
solution to address urban traffic problems, as the number of vehicles that continue to …