Object detection in images has been identified as a critical area of research in computer
vision image processing. Research has developed several novel methods for determining …

Achieving accurate and real-time perception of environmental targets in complex traffic
scenes based on visual sensors is a challenging research problem in the field of …

The disordered arrangement of water-meter pipes and the random rotation angles of their
mechanical character wheels frequently result in captured water-meter images exhibiting tilt …

Instance segmentation of street-level images is an important part of road perception for
autonomous vehicles. Different from traditional indoor or outdoor scenes, the segmentation …

Vehicle detection is discussed in detail using the YOLOv7 model based on an advanced
deep learning approach, which demonstrates excellent performance as a vehicle detector …

Urban sprawl and the growth of the vehicle fleet have the main problem of vehicular
congestion. Nowadays, there are different ways to generate data from various sources, for …

In the developing countries like India, traffic maintenance on roads is some what crucial task.
Vehicle detection plays an important role and is the basic step for automatic monitoring of …

Owing to the disorderly arrangement of water meter pipelines and the random rotation
angles of their mechanical numeral wheels, the captured images of water meters reveal …

Rapid social development has resulted in the emergence of a new major societal issue:
urban traffic congestion, which many cities must address. In addition to making it more …