Camera Data Replay for ADAS Validation Workflows

Validation of advanced driver assistance systems and automated driving software increasingly depends on reproducible sensor testing rather than repeated physical vehicle trials. Vector Informatik and Solectrix have developed a joint validation environment that combines simulation, camera replay, and ECU-level testing to support regression analysis, fault injection, and software verification in automotive development.

Integrated ADAS validation architecture
The cooperation addresses a common engineering bottleneck in ADAS and automated driving development: reproducing identical camera-based test conditions across software iterations. Real-world vehicle testing often introduces environmental variability, making it difficult to isolate software regressions or consistently validate edge-case scenarios.

The combined platform integrates Vector Informatik’s CANoe and DYNA4 environments with Solectrix’s proFRAME video capture and replay infrastructure. CANoe provides vehicle network simulation, ECU communication analysis, and remaining bus simulation, while DYNA4 generates virtual driving scenarios. Solectrix contributes embedded vision expertise and the hardware layer required to capture, replay, and manipulate automotive camera streams.

This creates a continuous automotive testing workflow spanning virtual scenario generation, video replay, and ECU validation.

Real-time sensor replay and ECU interface emulation
A key technical capability is the conversion of virtual driving scenarios into live camera data streams for ECU testing. This allows development teams to validate perception and data fusion behaviour without requiring a physical test vehicle.

The setup also emulates camera I2C communication in parallel with video replay. Since automotive cameras exchange configuration, control, and status data with ECUs over I2C, replaying image streams alone is insufficient for realistic validation. Simultaneous protocol emulation enables the ECU under test to interact with the simulated camera environment as though connected to production hardware.

The architecture supports synchronized and repeatable playback of both real and synthetic sensor inputs, allowing consistent comparison across software versions.

Fault injection and safety validation use cases
The platform extends beyond standard replay by supporting targeted manipulation of video and I2C data. This enables controlled investigation of failure conditions such as corrupted image transmission, sensor communication anomalies, or degraded input scenarios.

Such testing is particularly relevant for safety-critical ADAS functions where perception robustness must be validated under abnormal operating conditions. Controlled fault injection reduces dependence on difficult-to-reproduce field scenarios while improving test coverage.

This aligns with broader software-defined vehicle development practices, where validation increasingly shifts toward simulation-driven testing and continuous software regression workflows.

Automotive Testing Expo deployment
Vector Informatik and Solectrix will present the integrated validation environment at Automotive Testing Expo, taking place June 23–25, 2026, in Stuttgart, Germany. The demonstration will be shown at Vector’s booth in Hall 1, Booth 1602, while additional embedded vision and video replay implementations will be presented at Solectrix’s Hall 1, Booth 1321.

Additional Context
This section details technical specifications and competitive benchmarking not included in the original news release.

Comparable automotive validation platforms include dSPACE sensor simulation environments and NI PXI-based ADAS test architectures, both commonly used for hardware-in-the-loop and sensor validation. The distinction in this implementation is the integration of virtual driving simulation, synchronized camera replay, and I2C camera interface emulation within a unified workflow. Solectrix’s proFRAME platform supports multiple automotive camera interfaces including GMSL, FPD-Link, ASA-ML, GVIF, A-PHY, and CSI-2, which broadens compatibility with current automotive imaging architectures.

Edited by Aishwarya Mambet, Induportals Editor, with AI assistance.

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