Autonomous Driving (AD) and Advanced Driver Assist Systems (ADAS) have been progressing from maybe possible 10 years ago to inevitable today, profoundly reshaping the automotive industry challenges. Traditional OEMs as well as new entrants and start-ups develop and integrate new sensors, new software, and new technologies (artificial intelligence, machine learning, data analytics...). Test and Validation of new AD/ADAS software (collision avoidance, adaptive cruise control, lane keeping assist, emergency braking …) is a prominent topic to assure global safety, efficiency, and performance.
This presentation will highlight an End-To-End Toolchain to cover the software development process from Requirements to Software Validation, piloted by a MBSE Cyber Magic Grid approach. This Push Button Simulation Platform provides the classical static and dynamic black-and-white box tests for XIL (MIL, SIL, HIL, DIL, VIL…), creates a realistic environment leveraging real-world data as well as synthetically generated data, and delivers features to run millions of kilometers under real driving scenarios (weather conditions, traffic, road characteristics, night driving, bright sunshine, lidar and camera sensors’ performance) and, offers massive simulation capabilities.