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 ...

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

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 ...