Nauto Launches AI-Powered Predictive Collision Alerts, Advances Fleet Safety Beyond Driver Coaching Programs

NautoⓇ announced Predictive Collision Alerts, a new module in its Driver Behavior Learning Platform. The new offering detects imminent collisions to reduce rear-end accidents by up to 400% more than traditional approaches.

Until now, fleet and driver safety products, called “video telematics” systems, have been focused on driver coaching and fleet management applications.

“We evaluated multiple AI-powered products to support our commitment to driver safety,” said Greg McLeod, Pepin. “Nauto’s distracted driver detection was vastly superior to others because it isn’t simply a learning tool–it actively enables drivers to avoid collisions before they happen. We expect Predictive Collision Alerts to further reduce our number of rear-end collisions.”

Nauto Predictive Collision Alerts works like the human brain. It continuously synthesizes inputs from in and around the vehicle, including driver behavior, vehicle movement, traffic elements, and contextual data, in its multi-tasked Convolutional Neural Networks (CNN) model to determine levels of collision risk. As risk intensifies, Predictive Collision Alerts signals the driver to take action with increasing levels of urgent alerts.

The initial implementation of Predictive Collision Alerts will focus on reducing rear-end incidents—which account for an average of 26% of total fleet losses at $82,000 per incident. Before Nauto’s technology, fleet managers’ only options were costly, difficult-to-install, aftermarket forward collision warning (FCW) systems. FCW systems use rudimentary physics—calculations based on lead and trailing vehicles speed, time, and distance—to deliver warnings. They cannot provide the extra warning time needed to account for driver inattention and contextual data. Only Nauto’s Predictive Collision Alerts leverages multi-tasked CNN models to provide drivers up to twice the warning time than traditional FCW systems.

“What if you had 100% more time to make a life-or-death decision and take corrective action?” said Shweta Shrivastava, chief product officer, Nauto. “With more than 650 million AI-processed miles informing our platform, Nauto already leads the way in providing real-time training that helps drivers adjust behavior and avoid collisions in the moment. Traveling at 60 miles per hour, our new Predictive Collision Alerts goes even further to give drivers at least 100 extra feet to react to a potential collision. This product will save lives.”

Nauto’s Predictive Collision Alerts were demonstrated at an exclusive customer event on May 13 and will be available for order this June.

The post Nauto Launches AI-Powered Predictive Collision Alerts, Advances Fleet Safety Beyond Driver Coaching Programs appeared first on Fleet Management Weekly.

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