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

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Abstract: Object recognition is a powerful innovation within computer vision. It identifies and tracks objects in images and videos, with applications like facial recognition, vehicle detection, ...

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 ...

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).