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We have been investing in Autonomous simulation, Rapid prototyping and using them for Cybersecurity deep learning training. ADAS simulator, a platform that is used in the automotive industry for development of Advanced Driver Assistance Systems (ADAS), where the complete car manoeuvres (Vehicle dynamics), Sensor models (Radars, Cameras, Lasers) and
all traffic objects (lights, buildings, road slops) could be simulated. The ATI ADAS simulator, can be used from model-based controller design (MIL) to real-time tests with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) systems. Also The ATI ADAS simulator can be used on early prototyping for Model based development on Real Vehicles, where the Developed algorithms can interface with ROS and executed on any simulation H/W (Like Micro-Autobox).
Using these simulated data could be fed to our Deep learning model running on the Target ECU, to perform training on the Dynamic behavior of the ECU with no need for actual driving, and applying our PEN Testing suit with no life jeopardy.