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Simultaneously fuses driver behavior, vehicle movement, traffic elements, and contextual data to help predict and prevent collisions.
Nauto’s proprietary AI and data analytics models are designed to simultaneously synthesize critical inputs to identify and alert drivers of imminent collisions in real-time.
Your safest drivers are constantly scanning the road for imminent risks. Predictive Collision Alerts can help all of your drivers anticipate risks caused by other drivers, cyclists, pedestrians, changing lights, etc.
In-vehicle alerts should be smart. Nauto's collision avoidance system is designed to take active braking, vehicle speed, and other vehicle movement to alert drivers when it matters most.
Drivers can only make safe decisions when they’re attentive. Predictive Collision Alerts simultaneously assess driver behavior to help provide distracted drivers with twice as much reaction time.²
Finally, a collision avoidance system designed to improve over time as Nauto’s multi-task Convolutional Neural Networks model evolve and learn from critical contextual data.
Predictive Collision Alerts could give drivers as much as 100 extra feet to react to a potential collision when traveling at 60 mph.²
Nauto continuously synthesizes inputs from in and around the vehicle to determine levels of collision risk. As the detected risk intensifies, Predictive Collision Alerts signal the driver to take action with increasing levels of urgency.
Simultaneously fuses driver behavior, vehicle movement, traffic elements, and contextual data to help predict and prevent collisions.
Helps reduce rear-end collisions, the most frequent road incident, accounting for an average 26% of total fleet losses at $82,000 per incident.
Could provide distracted drivers with as much as twice the reaction time to help prevent collisions than traditional forward collision warning (FCW) systems.²
Reaction time to help avoid a potential collision at 60 mph²
AI-processed miles informing the
Nauto platform today