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 ...
LONDON – On a more than typically busy Thursday morning in Soho, the gray December sky spat rain. Traffic was stop-and-go, but mainly stop. Even the sidewalks were congested. Finally, alongside the ...
Abstract: Accurate battery fault detection and early warning are important to the efficient and safe operation of electric vehicles (EVs). Artificial intelligence-based methods make it possible to ...
Abstract: As the de-facto standard for in-vehicle networks, the Controller Area Network (CAN) is exposed to different types of cyber-attacks due to the lack of security mechanisms. Intrusion 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 ...
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