Abstract: This article presents a novel hybrid framework that integrates spatial and temporal processing techniques for detecting and identifying incipient fires. By combining thermal imaging with a ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Abstract: The current mainstream research on color-thermal (i.e., RGB-T) object detection assumes that the RGB and thermal images are strictly aligned. However, in practical situations, due to the ...

AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...