Computer vision is becoming an increasingly trendy word in the area of image processing.
With the emergence of computer vision applications, there is a significant demand to …

Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

The current industrial scenario has witnessed the application of several artificial intelligence-
based technologies for mining and processing IoMT-based big data. An emerging …

The proper planning of rest periods in response to the availability of parking spaces at rest
areas is an important issue for haulage companies as well as traffic and road …

Autonomous vehicles have become a topic of interest in recent times due to the rapid
advancement of automobile and computer vision technology. The ability of autonomous …

Advancements in artificial intelligence algorithms and models, along with embedded device
support, have resulted in the issue of high energy consumption and poor compatibility when …

Road traffic elements are important components of roads and the main elements of
structuring basic traffic geographic information databases. However, the following problems …

The detection and recognition of traffic signs is an important topic in intelligent transportation
systems. The automatic detection and recognition of traffic signs during driving is the basis …

This study concentrates on deep learning-based lightweight object detection models on
edge devices. Designing such lightweight object recognition models is more difficult than …

Recognizing and classifying traffic signs is a challenging task that can significantly improve
road safety. Deep neural networks have achieved impressive results in various applications …