Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …

Most existing traffic sign detection models suffer from high computational complexity and
superior performance but cannot be deployed on edge devices with limited computational …

Traffic sign recognition, as one of the key steps of intelligent driving technologies, effectively
avoids most traffic accidents by detecting the location and type of traffic signs in real time …

Traffic sign recognition plays a crucial role in the intelligent vehicle's environment perception
system. However, due to varying weather conditions, illumination, and complicated …

Autonomous vehicle navigation technology is increasing rapidly. However, automatic sign
recognition in complex illumination environments like low-light, hazy regions is a significant …

The huge growth in the number of vehicles is causing serious traffic management problems.
Existing roads must handle traffic more than expected which presents serious challenges …

Food classification is crucial for the food industry and has a significant impact on public
health and nutrition. Deep learning techniques such as YOLOv5 and YOLOv7 have recently …

Since the end of 2019, the whole world is still facing a big damage caused by the COVID-19
pandemic. There is an increasing need to build new robust systems used to recognize …

In this study, different strategies used to count vehicles and people in different image areas
at a street intersection were analyzed to obtain counts at appropriate times suitable for real …