Abstract: Thermal imaging provides critical information for object detection in low-light environments. However, effectively leveraging thermal data remains challenging due to the degraded performance ...

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 ...

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 ...

Abstract: Thermal imaging is crucial for environmental monitoring, industrial inspection, and security, yet object detection in thermal images faces challenges like low contrast, noise, and ...

This flow automatically fetches NASA's Astronomy Picture of the Day (APOD) using a Raspberry Pi and GitHub Actions, then analyzes the image using MATLAB (or MATLAB Online).