Rollover Prediction and Alert for All-Terrain Vehicle

Abstract

Researchers at the University of California Davis have developed a system designed to predict and prevent ATV rollovers, enhancing rider safety.

Full Description

This technology encompasses an advanced prediction system for all-terrain vehicles (ATVs) aimed at preventing rollovers. It integrates an inertial measurement unit (IMU), local processing units, and a neural network model to analyze vehicle dynamics in real-time and predict rollover risks, issuing alerts to riders and potentially saving lives by preventing accidents.

Applications

• ATV manufacturing and safety enhancements. 
• Emergency response systems for rural and off-road environments. 
• Vehicle safety research and development. 
• Insurance industry, for risk assessment and policy adjustments. 
• Recreational and agricultural ATV use.

Features/Benefits

• Real-time rollover risk prediction enhances rider safety. 
• Onboard circuitry and mobile application integration for comprehensive vehicle monitoring. 
• Neural network model optimized for ATVs, considering unique dynamics and rider behavior. 
• Works in areas without cellular service, crucial for rural and off-road environments. 
• Supports emergency response by aiding in the location and rescue of injured riders. 
• Prevents high risk of rollovers due to ATVs' narrow wheelbase and high center of gravity. 
• Reduces difficulty in crash detection and prevention specific to ATV dynamics. 
• Provides effective emergency response mechanisms for off-road accidents. 
• Reduces communication errors and limitations of conventional crash prediction models.

Patent Status

Patent Pending