dSpace and BTC blend Simphera and ScenarioPlatform to validate ADAS
Partners dSpace and BTC expand their collaboration to develop a simulation-based solution for validating and homologating systems in autonomous driving. The new web-based solution for simulation and validation is based on dSpace’s simulation and validation environment, Simphera and BTC’s ScenarioPlatform. The combination delivers smart, automatic validation of advanced driver assistance systems/autonomous driving (ADAS/AD) systems, say the companies.
ADAS/AD systems face challenges for validation at the system level, as well as safety. Virtual and scalable simulation solutions with efficient processes for data management, test creation, simulation, and evaluation, including a risk analysis, will open up possibilities for automation and autonomous driving functions, the partners believe.
dSpace supplies simulation-based verification and validation at all system levels in the automotive industry. Custom solutions, based on realistic simulation models and digital twins, are available for testing engine control unit (ECU) software and electronics at the component, system, and vehicle level and for validating safety. The dSpace verification and validation environment allows for a seamless transition between different test levels and constant signal integrity level (SIL) and hardware in the loop (HIL) validation when reusing tests on a regular basis.
Based on dSpace’s automotive simulation models (ASM), Simphera will be available for use in general customer projects starting the second half of this year. The scalable and intuitive environment for validating ADAS/AD systems can be used on site or in the cloud for collaborative teams and allowing access from anywhere.
BTC manufactures software test and verification tools for automotive design. The BTC ScenarioPlatform offers an automated solution for creating scenarios, generating tests, and evaluating tests based on coverage. Graphical traffic scenarios can be created intuitively using the BTC ScenarioComposer. The high level of abstraction makes it possible to express thousands of test cases with just one abstract scenario. The automated test generation functionality uses model checking and artificial intelligence (AI). Intelligent weakness detection allows test cases to be generated efficiently based on statistical methods and coverage metrics rather than random or “brute force” test generation, to reduce the amount of test data while making it possible to determine when the test activities have been completed. Simulations are evaluated automatically by the BTC RuleObserver to ensure compliance with traffic rules or safety objectives.
dSpace provides simulation and validation solutions for developing connected, autonomous, and electrically powered vehicles. It is headquartered in Paderborn, Germany, and has three project centres in Germany, and serves customers through regional companies in the USA, the UK, France, Japan, China, Croatia, and South Korea.