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

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 ...

Edge AI designs, starting to see a trickle-down effect from AI data centers, increasingly rely on toolchains to keep up with the breakneck speed of AI. So, to bolster the edge AI ecosystem, Infineon ...

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 ...

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: Reliable object detection is critical for autonomous vehicles (AV). An AV must be safely guided towards its destination under different illumination conditions and avoid obstacles. Thermal ...