Embedded Measurement Core for Automated Data Logging

A new measurement core has been released to address the increasing demand for automated, high-throughput data acquisition in vehicle development and validation environments. Designed for x64- and ARM64-based systems running Windows or Linux, the software targets applications that require fast start-up times, deterministic logging behavior, and remote control through standardized interfaces. Typical use cases include automated test benches, mobile data loggers, and distributed measurement nodes in software-defined vehicle architectures.

Technical relevance and application scope
The growing complexity of in-vehicle communication and sensor fusion has increased the volume and heterogeneity of measurement data. Modern development workflows therefore rely on compact, deployable logging components that can be integrated into existing hardware and orchestration systems. The new measurement core addresses this requirement by separating configuration from execution: measurement setups are defined once in a desktop environment and then executed unchanged on the target system. This approach reduces configuration errors and supports reproducibility across test fleets and laboratory setups.

The software supports acquisition from classical automotive networks as well as high-bandwidth data sources. Supported protocols include CAN, CAN FD, LIN, FlexRay, and Automotive Ethernet, alongside XCP for measurement and calibration access. Sensor integration extends to RADAR, LIDAR, and video streams, enabling synchronized logging of network traffic and perception data. These capabilities are relevant for ADAS validation, system integration testing, and data collection for machine-learning-based development pipelines.

Architecture and performance characteristics
Implemented as a lean console application with an integrated web server, the measurement core is optimized for minimal runtime overhead. Fast initialization allows logging to begin shortly after system boot, which is critical for unattended or power-cycled deployments. Hardware abstraction enables operation on industrial PCs as well as single-board computers, allowing system designers to balance performance, power consumption, and cost.

Control and automation are provided through a REST API, making the software suitable for integration into CI/CD pipelines, test automation frameworks, and distributed logging infrastructures. An optional browser-based user interface supports local operation, visualization, triggering, and annotation, including synchronized video preview where applicable.

Integration into existing workflows
By building on the measurement and calibration mechanisms of established desktop tooling, the core software ensures compatibility with existing configurations and data formats. This continuity simplifies integration into current validation processes and supports long-term data consistency across projects. The platform-independent design also aligns with emerging requirements for scalable data acquisition in connected development environments, where logging nodes may be deployed across laboratories, proving grounds, and test vehicles.

The solution is provided by Vector Informatik, which supports implementation and customization for specific hardware platforms and logging scenarios. The focus on standardized interfaces and multi-protocol support positions the measurement core as an infrastructure component rather than a standalone tool, addressing the practical needs of automated data collection in modern automotive engineering.

www.vector.com