system, while all new cars must be equipped with the Driver Drowsiness and Attention Warning (DDAW) system. By July 2026, all new passenger cars must be equipped with the ADDW system. In China ...

These features are designed to help prevent crashes caused by driver distraction, fatigue, or unintentional drifting. Similarly, the drowsiness alert system in these vehicles will assess the ...

Bike Lane Uprising, an app that allows cyclists to report bike lane obstructions, held their first-ever fleet driver training class. "We received more bike lane obstructions this past March than ...

Since its launch in 2022, NueGo has deployed ADAS in all its buses NueGo, the electric bus brand by GreenCell Mobility, has now integrated Advanced Driver Assistance Systems (ADAS) across its ...

Advanced Driver Assistance Systems (ADAS) enhance vehicle and ... (AEB), Electronic Stability Control (ESC), and Driver Drowsiness Detection. NueGo aims to provide a safer travel experience ...

Cal Fire is partnering with Google and Muon Space to develop a satellite system for early wildfire detection. The satellites will use AI algorithms to differentiate wildfires from other heat ...

A real-time driver drowsiness detection system using deep learning and computer vision techniques, developed to enhance road safety by identifying signs of driver fatigue through eye state ...

Anduril Australia has delivered a detection system that includes its Long Range Sentry Tower (pictured) to the RAAF for trial against unmanned aircraft system intrusions. (Anduril Australia ...

According to the National Highway Traffic Safety Administration, there were 684 people died in crashes involving a drowsy driver in 2021. "If you ever see anyone falling asleep at the wheel ...

NueGo, the intercity electric bus service by GreenCell Mobility, has taken a big step in road safety by installing Advanced Driver Assistance Systems ... and Driver Drowsiness Detection, use ...

BatEchoMon, short for “Bat Echolocation Monitoring”, is an autonomous system capable of detecting ... robust training datasets to make good detection models for different species — a ...