The realization of autonomous vehicles requires – from the concept phase to series production development – reliable time-synchronous recording as well as the associated visualization of a very large flood of data in the vehicle, which is constantly increasing due to ever improving sensors. The handling of these high data rates proves to be very complex and requires new development tools that are optimized for very high data volumes, perfectly coordinated with each other and can safely meet future challenges.
The Validation Toolchain from b-plus GmbH offers a complete system for the recording, analysis and processing of many sensor inputs (e.g. cameras, radar) including recorders, measurement technology adapters and the new powerful visualization framework AVETO.vis for the entire automotive validation process. With this software, b-plus present the optimal solution for a flexible visualization system with application possibilities in the complete test and validation phase of an ECU.
Recorded data, values and results can be used for further tests, such as software-in-the-loop, based on this visualization. For this and other parts, b-plus offers a component based plug-in system via an SDK interface for flexible extensions such as the integration of HiL-system, camera or other visualization components, which allows the developer to adapt his user interface to his personal requirements.
A graphical configurator “Configuration Manager”, which provides a simple configuration of the measurement setup using a “Data Flow Editor”, supports this. This unique programming makes it possible for even non-programmers such as test drivers to be able to validate quickly certain event chains on site.
In addition, a standard set of visualization objects/measurement objects is already available, which makes it easier to start the AVETO.vis software. For headless operations, AVETO.vis can also realize processes via script without having to open the program and configure it separately. This is the ideal solution for independent simulations, e.g. SiL overnight test runs.
This result-analysis allows the ECU's behavior to be closely monitored and ultimately used for other testing purposes. Thereby, updated configurations or algorithm updates can be tested and secured without ECU hardware. For development, it is particularly relevant that such systems support deterministic development. This is the only way to ensure reproducibility in testing and validation.