In modern ADAS development, large volumes of real‑world driving data are generated every day. The challenge is no longer data acquisition, but turning this data into reliable validation results in a scalable and efficient way.
This is exactly where the new collaboration between GeneSys Elektronik and Rapifai comes into play.
By combining ADMA high‑precision ground truth measurement systems with Rapifai’s ProEYE AI‑based analysis platform, real‑world measurement data can be used more directly for ADAS verification and validation, with significantly reduced post‑processing effort.
ADAS Validation with Ground Truth Data in Practice
ADAS validation relies on precise and time‑synchronized data describing vehicle motion and system behavior.
GeneSys ADMA systems provide accurate ground truth data for:
- Position
- Velocity
- Acceleration
- Vehicle orientation
Within the partnership, ADMA data is streamed in real time via Ethernet into the ProEYE platform, where it is time‑synchronized with video data. This eliminates the need for complex offline alignment of different data sources.
For test and development engineers, this means:
- less manual data preparation
- a consistent time base across sensors
- faster access to usable validation data
Less Post‑Processing for ADAS Validation with Ground Truth Data
A key benefit of the integrated solution is the reduction of post‑processing time.
Instead of manually reviewing and aligning recorded data offline, relevant driving scenarios can be identified and analyzed directly from real‑world measurements.
The combined ADMA × ProEYE solution enables:
- automatic identification of relevant driving scenarios
- KPI‑based evaluation of ADAS performance
- generation of simulation‑ready test assets from real‑world data
This allows engineering teams to focus on system behavior and performance rather than on data handling.
From Real‑World Driving Data to Actionable Validation Results
Many OEM programs already collect all the data required for ADAS validation. The real challenge lies in scalable analysis.
By linking ground truth vehicle motion data directly with AI‑based scenario extraction and analytics, real‑world driving data can be transformed into decision‑ready validation insights.
Measured scenarios can be evaluated, compared using KPIs, and reused in simulation environments, supporting a continuous validation workflow.
Joint Pilot Projects with OEMs and Tier‑1s
As part of the collaboration, GeneSys and Rapifai are working on pilot projects with OEM and Tier‑1 partners to evaluate the integrated approach in real development environments.
GeneSys provides ADMA measurement systems, while Rapifai integrates the real‑time data pipeline into ProEYE. The focus is on practical ADAS validation scenarios and efficient engineering workflows.
Conclusion
The partnership with Rapifai extends the use of ADMA beyond precise data acquisition.
By combining high‑accuracy ground truth data with AI‑based analysis, ADAS validation workflows become faster, more structured, and less dependent on manual post‑processing.
