[ Fleet Intelligence · Predictive Fusion™ Collision Alerts ]

Alert while the outcome
can still change.

Understand how risk builds across the driver, vehicle, traffic, vulnerable road users, and road conditions. When those factors combine into meaningful collision risk, drivers receive an in-cab alert while there’s still time to act.

In-cab and forward camera views beside detection panels flagging Distracted, Cellphone and Eating in the cabin and a lead vehicle ahead.
[ How it works ]

The Predictive Fusion
difference.

Four steps between a set of ordinary signals and one alert a driver can still act on.

01.

Fuse

Bring together the signals that matter most, including driver behavior, vehicle dynamics, traffic, vulnerable road users, and road conditions.

02.

Anticipate

Recognize how collision risk is developing before a traditional forward collision warning would typically respond.

03.

Prioritize

Not every situation requires an alert. Multiple signals help determine when collision risk is genuinely elevated.

04.

Intervene

Deliver an in-cab alert while the driver still has time to react.

[ What goes into Fusion AI ]

Four sources of context,
fused in real time.

No single signal decides anything. Risk is read from all four together, continuously.

01

Driver attention and behavior

Where the driver is looking and whether attention is drifting.

02

Vehicle motion and dynamics

How the vehicle is moving relative to the developing situation.

03

Traffic flow and vulnerable road users

Vehicles, pedestrians, and cyclists.

04

Road and environmental context

Weather and surface condition changes over time.

[ Where it matters ]

Built for the situations
that become serious fast.

Traffic stops faster than expected

The vehicle ahead decelerates and closing risk rises faster than a conventional threshold expects.

A pedestrian or cyclist enters the path

Vulnerable road users cross at an intersection while the vehicle is still moving into the conflict.

A driver becomes distracted

The driver looks away while already following too closely, turning two moderate signals into one urgent risk.

Night-time driver-facing and forward camera views, flagging driver distraction and a cyclist in the vehicle's path.
[ Customer quote ]
“If driver safety is even a remote concern for your fleet, implementing an AI-powered dash cam solution like Nauto Vehicle Intelligence is not just recommended, it’s essential.”

Robert Schramer

SVP · Aristocrat Gaming

[ Independent testing • VTTI ]

Proven performance,
independently validated.

Results from independent testing conducted by the Virginia Tech Transportation Institute, not from our own benchmarks.

100%

alert accuracy

3.8 s

average time to alert

Results based on independent testing conducted by the Virginia Tech Transportation Institute (VTTI). They are not a benchmark of BADAS or any other standalone model. VTTI does not endorse any products.

[ Contact ]

Alert when
it matters.

Fleet Intelligence’s Predictive Fusion™ alerts give drivers earlier, more contextual intervention in the scenarios most likely to become collisions.

Existing Nauto customers

Your support process and escalation path have not changed. Reach your usual contact directly.

[ Enquiry ]

We reply within one business day.