Transportation agencies are leveraging emerging technology to identify hazards earlier and reduce severe crashes ...
Abstract: The study introduces a new method to enhance vehicle type recognition rates in Internet of Vehicles environment. The approach integrates a vehicle target detection model that utilizes ...
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: This paper presents a novel, high-performance multi-vehicle detection and tracking (MVDT) framework to extract vehicle trajectories from roadside 3D point clouds. First, we developed a ...
Parse OCMF strings into validated Python objects Verify cryptographic signatures for data integrity Support for ECDSA with multiple curves (secp192r1, secp256r1, secp384r1, secp521r1, brainpool ...
It’s a busy time in the world of Python, and we’ve got all the scoops. Top picks for Python readers on InfoWorld How to use Pandas for data analysis in Python For working with data tables in Python, ...