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Monitoring Vulnerable Road Users (VRUs) in video surveillance systems is crucial for ensuring road safety, au-tonomous driving, and efficient traffic control. However, con-textual variables including occlusion, varying background conditions...

In recent years, the number of natural disasters such as forest fires and the resulting economic damage and number of victims has increased worldwide. Unmanned Aerial Vehicles (UAV) can react quickly and autonomously in such search and resc...

The article presents an enhanced YOLOv8 model, YOLOv8-APSE, for detecting dangerous goods in X-ray security images. YOLOv8-APSE integrates the Adaptive Feature Pyramid Network (AFPN) and Squeeze-and-Excitation (SE) detection heads, focusing...

One of the main challenges in hyperspectral image classification is the small amount of labeled data and the spectral shift problem between the source and target domains in cross scene hyperspectral image classification, which leads to low ...

Monocular depth detection plays a pivotal role in numerous computer vision applications, particularly on edge devices such as the NVIDIA Jetson Nano, which pose unique constraints in terms of computational resources. This paper presents a t...

This paper presents a new approach of evaluating automotive development processes, starting from the early stages of development to the final product. The main objective of this paper is to ensure transparency among stakeholders and provide...