Blinding headlights pose a serious risk to motorists and pedestrians at night. Technology to reduce glare and improve ...

Researchers have developed a tool that reliably predicts where destructive new roads are likely to carve through tropical ...

A high-performance, privacy-first web application for real-time object detection that runs entirely in your browser using WebGPU acceleration and ONNXRuntime-Web. No server required, no data leaves ...

Introduction: Detecting road boundaries, the static physical edges of the available driving area, is important for safe navigation and effective path planning in autonomous driving and advanced driver ...

In this sequel to the 2023 exploitation film, blood-splattered inanity becomes a delirium of popcorn fun. By Brandon Yu When you purchase a ticket for an independently reviewed film through our site, ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

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 ...

Abstract: Detecting objects in complex driving environments is crucial for autonomous vehicles to navigate safely. However, this task becomes challenging when addressing scale variations, occlusions ...

Abstract: With the surge in urban vehicle density, smart cities are increasingly relying on AI-powered traffic management systems to address congestion challenges. In this work, we present a real-time ...