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/ MOBILITY

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ADAS: reliable perception before every driving decision

ADAS: reliable perception before every driving decision

In assisted driving, a perception error is not just a simple bug.
It is a risk to safety, compliance, and liability.

In assisted driving, a perception error is not just a simple bug. It is a safety, compliance, and liability risk.

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the problem

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the problem

ADAS systems rely on:

Real-time object detection and tracking

Multi-sensor fusion (camera, lidar, radar, sonar)

Distance estimation

Obstacle classification

But:

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Models are mistaken in rare cases

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Actual conditions differ from the training data

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The system does not always know when it is wrong

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Models are mistaken in rare cases

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Actual conditions differ from the training data

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The system does not always know when it is wrong

Result

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Ghost detections and missed obstacles

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Unjustified emergency stops

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Sensor fusion errors, causing accidents

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Ghost detections and missed obstacles

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Unjustified emergency stops

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Sensor fusion errors, causing accidents

The EU AI Act classifies ADAS as high-risk, and SAE Level 3/4 homologation requires proven AI reliability.

The EU AI Act classifies ADAS as high-risk, and SAE Level 3/4 homologation requires proven AI reliability.

The real challenge is no longer average performance.
It is real-time reliability in critical and unexpected cases.

The real challenge is no longer average performance.
It is real-time reliability in critical and unexpected cases.

TrustalAI brings a real-time reliability layer to your embedded perception. We do not replace your models. We guarantee their level of confidence before action.
TrustalAI brings a real-time reliability layer to your embedded perception. We do not replace your models. We guarantee their level of confidence before action.
TrustalAI brings a real-time reliability layer to your embedded perception. We do not replace your models. We guarantee their level of confidence before action.

Our solution applied to ADAS

Our solution applied to ADAS

Our solution applied to ADAS

Evaluates the reliability of multi-sensor fusion (camera, lidar, radar, sonar)

Robustly tracks objects without retraining (learning-free)

Detects situations outside the Operational Design Domain (ODD)

Detects situations outside the Operational Design Domain (ODD)

Generate an actionable confidence percentage for the decision system

Specifically:

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Driving decision if confidence is high

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Degraded mode or driver alert in case of uncertainty

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Handover requested in case of critical risk

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Driving decision if confidence is high

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Degraded mode or driver alert in case of uncertainty

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Handover requested in case of critical risk

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We transform your AI perception into a steerable, explainable, and certifiable system.

You make the AI decisions driving your industry reliable.

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Safer driving decisions

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Fewer unnecessary emergency stops

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Safer driving decisions

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Fewer unnecessary emergency stops

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Reduced mechanical wear

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Reduced mechanical wear

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Facilitated approval (SAE 3/4)

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EU AI Act Compliance

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Facilitated approval (SAE 3/4)

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EU AI Act Compliance

Reliability of multi-sensor fusion

Reliability of multi-sensor fusion

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Safer driving decisions

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Reduced mechanical wear

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EU AI Act Compliance

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Fewer emergency stops

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Increased perception confidence

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Objects tracked correctly, even in dense scenes

Real-time object tracking

Real-time object tracking

Out-of-Domain (ODD) Detection

Out-of-Domain (ODD) Detection

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Anticipating failures before they occur

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Driver alert for take-over

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Regulatory compliance

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Safer driving decisions

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Switch to a reliable ADAS

Switch to a reliable ADAS