We developed a skeleton based behavour recognition algorithm and a new Cyclist Behaviour Recognition dataset for autonomous vehicles to identify: cyclists hand signals/gestures for their intention of ...

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Abstract: The capacity of skeleton-based sign recognition to adapt well to complicated backgrounds and dynamic settings has drawn increasing interest. However, this method often suffers from ...

Hands in motion can be challenging, but they become much easier to draw when you understand gesture, structure, and how movement changes shape. This tutorial focuses on drawing hands in action by ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

It’s the metal, plastic, and wires that give the robot its shape and allow it to move around. Engineers in this field design everything from the robot’s arms and legs to its wheels and joints. They ...

This repository demonstrates hands-on cloud support skills through intentionally broken AWS environments. Each scenario simulates actual production issues requiring log analysis, metrics ...

With a masters degree in automotive journalism, Dino has a forensic knowledge of the car industry and works closely with our lab to find the best (and worst) models. Buying a used car can be an easy ...