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 ...
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: Traffic accidents remain a significant challenge in road safety systems, highlighting the need for real-time vehicle motion monitoring technologies. Traditional vehicle-tracking systems, ...
Graduation project repository, Real-time vehicle detection using two different approaches. HOG+SVM traditional approach and Deep Learning based approach using state of the art YOLO convolutional ...
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