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Autonomous drones, planes and trains: making perception

reliable

Autonomous drones, planes and trains: making perception

reliable

On a drone, an airplane, or an autonomous train, a single perception error has vital consequences.

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the problem

Autonomous systems rely on:

Obstacle tracking and detection

Mission fee

Prediction of system failures

Embedded decision

But:

Models are mistaken in rare cases

Actual conditions differ from the training data

The system does not always know when it is wrong

Models are mistaken in rare cases

Actual conditions differ from the training data

The system does not always know when it is wrong

Result

A single error of perception with vital consequences

Missed detections in critical scenarios and unanticipated system failures

Non-certifiable decisions

A single error of perception with vital consequences

Missed detections in critical scenarios and unanticipated system failures

Non-certifiable decisions

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 a critical decision is made.

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

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