Abstract: With the rapid increase in transportation pressure, the demand for efficient traffic recognition and tracking systems is growing. Traditional methods have certain limitations when dealing ...
Abstract: We present a real-time vehicle detection and tracking system to accomplish the complex task of driving behavior analysis in urban environments. We propose a robust fusion system that ...
A WIRED investigation based on Department of Homeland Security records this week revealed the identities of paramilitary Border Patrol agents who frequently used force against civilians during ...
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 ...
The Vehicle Re-Identification System is a complete, standalone application for matching vehicles across images using state-of-the-art deep learning models. Unlike traditional systems, this ...