November 21, 2017
This webinar recording shows how an infrastructure supports fully automated verification on dedicated MIL/SIL or HIL test platforms as well as driving millions of test kilometers overnight on a PC cluster.
Instructors: Michael Beine, Lead Product Manager Data Management and Production Code Generation
Target Group: Function and software developers, software and systems engineers, integration engineers, test and quality engineers, safety managers, and others interested in model, workflow and test data management
dSPACE invites you to a webinar recording on the topic of scenario and simulation data management for verifying functions for autonomous driving.
The number of tests to validate ECU functionality is steadily increasing. This is especially true for the development of functions for ADAS and autonomous driving because standard requirements-based testing has to be complemented with other testing approaches to achieve sufficient test coverage.
An efficient and systematic handling of the data - scenarios, test cases, models, parameters or simulation results - that is needed for and created during validation is a challenge in itself. However, it is also key for a systematic validation, brings traceable results, and enables intelligent generation and selection of the right test cases and scenarios, their reuse as well as the repetition of previously run simulations and result analyses.
This webinar recording will show how dSPACE’s data management solution SYNECT supports fully automated verification on dedicated MIL/SIL or HIL test platforms as well as driving millions of test kilometers overnight on a PC cluster.