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Validation of ADAS Systems for Automotive

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Automotive - Decoration image
Automotive - Decoration image
Automotive - Decoration image

Accelerate your ADAS development with scalable, automated validation workflows and full traceability. From sensor fusion to emergency braking.

Accelerate your ADAS development with scalable, automated validation workflows and full traceability. From sensor fusion to emergency braking.

Advanced Driver Assistance Systems (ADAS) must perform flawlessly across thousands of real-world scenarios. However, validating perception algorithms, sensor fusion, and control logic requires massive amounts of test data and high test coverage.
Manual orchestration, long validation cycles, and unstructured data storage slow down development and increase risk.

Advanced Driver Assistance Systems (ADAS) must perform flawlessly across thousands of real-world scenarios. However, validating perception algorithms, sensor fusion, and control logic requires massive amounts of test data and high test coverage.
Manual orchestration, long validation cycles, and unstructured data storage slow down development and increase risk.

Advanced Driver Assistance Systems (ADAS) must perform flawlessly across thousands of real-world scenarios. However, validating perception algorithms, sensor fusion, and control logic requires massive amounts of test data and high test coverage.
Manual orchestration, long validation cycles, and unstructured data storage slow down development and increase risk.

Advanced Driver Assistance Systems (ADAS) must perform flawlessly across thousands of real-world scenarios. However, validating perception algorithms, sensor fusion, and control logic requires massive amounts of test data and high test coverage.
Manual orchestration, long validation cycles, and unstructured data storage slow down development and increase risk.

// Example

// Example

// Example

A Tier 1 supplier uses Aturo to validate a radar-based emergency braking system across 100,000 km of recorded drive data.
The test workflow is automated end-to-end, with simulations running in parallel across on-prem hardware and the cloud.
Aturo’s governance features enforce data quality checks, and the test results are automatically linked to ISO 26262 requirements—ensuring auditability without manual tracking.

A Tier 1 supplier uses Aturo to validate a radar-based emergency braking system across 100,000 km of recorded drive data.
The test workflow is automated end-to-end, with simulations running in parallel across on-prem hardware and the cloud.
Aturo’s governance features enforce data quality checks, and the test results are automatically linked to ISO 26262 requirements—ensuring auditability without manual tracking.

"The sheer amount of data required for the software defined vehicle will be the biggest challenge on the road to achieving successful Level 4 and 5 autonomy."

Michael Zigldrum - DevGarten

Accelerate

Leaving space for focus, not infrastructure

Accelerate

Leaving space for focus, not infrastructure

Accelerate

Leaving space for focus, not infrastructure

Save

Retention policies & quality gates reduce cost

Save

Retention policies & quality gates reduce cost

Save

Retention policies & quality gates reduce cost

Traceability

From test to result. Knowing what happened. When.

Traceability

From test to result. Knowing what happened. When.

Traceability

From test to result. Knowing what happened. When.

Protocol3 Logo

Made by DevGarten

DevGarten GmbH

Rotteneggerstr. 10 85290 Geisenfeld

HRB 12206

UstID: DE355216607

Protocol3 Logo

Made by DevGarten

DevGarten GmbH

Rotteneggerstr. 10 85290 Geisenfeld

HRB 12206

UstID: DE355216607

Protocol3 Logo

Made by DevGarten

DevGarten GmbH

Rotteneggerstr. 10 85290 Geisenfeld

HRB 12206

UstID: DE355216607