To solve object detection issues in infrared images, such as a low recognition rate and a
high false alarm rate caused by long distances, weak energy, and low resolution, we …

RGB-T tracking aims to leverage the mutual enhancement and complement ability of RGB
and TIR modalities for improving the tracking process in various scenarios, where cross …

The article presents a review of recent literature on the performance metrics of Automated
Driving Systems (ADS). More specifically, performance indicators of environment perception …

Due to the extreme complexity of the anti-reflective subwavelength structure (ASS)
parameters and the drastic limitation of Gaussian beam manufacturing accuracy, it remains …

The prevalence of computer vision systems necessitates hardware-based approaches to
relieve the high computational demand of deep neural networks in resource-limited …

For decades, the number of automobiles in urban areas around the world has been
increasing. It causes serious challenges such as traffic congestion, accidents, and pollution …

Infrared ocean ships detection still faces great challenges due to the low signal-to-noise
ratio and low spatial resolution resulting in a severe lack of texture details for small infrared …

A few promising solutions for thermal imaging Unexploded Ordnance (UXO) detection were
proposed after the start of the military conflict in Ukraine in 2014. At the same time, most of …

Object detectors trained on large-scale RGB datasets are being extensively employed in
real-world applications. However, these RGB-trained models suffer a performance drop …

With the development of infrared detection technology and the improvement of military
remote sensing needs, infrared object detection networks with low false alarms and high …