For safe advanced driver assistance systems: Managing complex ADAS using simulation
Today, assistance systems, such as emergency brake and lane keeping assists as well as automatic parking make navigating traffic safer and more comfortable. But with every new function, complexity increases as systems must reliably detect and respond correctly to an increasing number of traffic situations. To ensure ADAS operate safely under all conditions, precise development and comprehensive validation are required. Simulations allow thousands of scenarios to be tested in a short time, with transparent data management and end-to-end validation from the model to the vehicle. The result: advanced driver assistance systems that work reliably and intuitively – despite increasing complexity.
Continuous test
and validation platform
- Test your ADAS functions independently or integrated into the full vehicle network
- Develop and validate requirements, test early algorithms (MIL) and production-intent software (SIL)
- Test single ECUs or integrated ECU networks including mechanical hardware (HIL and VIL)
- Generate relevant scenarios utilizing sophisticated editing tools, scripting interfaces, or industry standards (NCAP)
- Ground truth data for focused testing of decision making and controls
- Physical sensor simulation to include perception in the test setup
- Detailed and modular vehicle model to achieve very high correlation to physical vehicle behavior
- Collect and annotate data from the real world
- Replay and inject recorded data with hardware-in-the-loop
- Connect proving ground and the virtual world with vehicle-in-the-loop
- Automation and integration of testing solutions into your CI/CD pipeline
- High scalability and efficiency of cloud-based simulations
- Management solutions for vehicle models, scenarios and test fleets for full traceability
Use cases
Using MotorcycleMaker to control electric drives under variable friction coefficients
Electric motorcycles have a complex drive architecture. This creates development and coordination challenges, especially when it comes to brake energy recovery under varying friction coefficients. A co-simulation using MotorcycleMaker and Typhoon HIL enables realistic tests in virtual vehicle testing. The results show that the rapid torque control of electric drives can serve as an effective anti-lock braking function.
End-to-end development processes for automated driving: Simulation, ODD and standardization
The approval of automated vehicles has been the topic of intense debate in recent years – particularly with regard to the validation of specific operational design domains (ODD). The potential for savings in the commercial vehicle sector is immense. This is where insights from the passenger car sector, such as from open tests, AI-generated scenarios and simulation-based validation come in. What is needed are transferable standards and credible simulations. End-to-end integration into development processes enables continuous and efficient validation.
Validating vehicle functions in the cloud using scalable CI/CT/CD processes
The share of software in vehicles keeps growing – and the development process needs to adjust to this new reality. New versions must be tested continuously. A CI/CT/CD environment enables the automated integration, testing and distribution of software, while test cases are being generated based on requirements, and implemented in cloud simulations. Functions can be validated quickly, which significantly increases test coverage.
Reducing real test efforts through the virtual validation of ADAS/AD software
To validate their ADAS/AD software, the Renault Group conducts tests both in the real and in the virtual world. To start with, the virtual vehicle completes the tests, followed by additional vehicle-in-the-loop tests. This reduces real-world test efforts and ensures a safe, reproducible test environment.
