One of the objectives for automotive OEMs over the past decade has been to strive to reduce the number of prototypes and the amount of physical testing required. Yet as the system complexity has increased, the number of different types of tests that need to be carried out has risen substantially. Developing simulators for the testing of autonomous vehicles and advanced driver-assistance systems (ADAS) is complex as you need to include the complete system into the simulation. At Claytex we have been developing autonomous vehicle simulators that are designed to support the testing, training and validation of the vehicle systems. We focus on scenario-based testing of the complete system, which means we combine vehicle dynamics, sensor models, control systems and a detailed virtual world complete with traffic and pedestrians to challenge the vehicle. We’ll outline our approach to building these simulators and provide details on the key sensor models that allow your system to see the virtual world.
Mike is the Managing Director of Claytex and a technical expert in modelling and simulation using Modelica and FMI. Mike studied Automotive Engineering at Loughborough University and then worked at Ford and Rover on powertrain simulation. After starting Claytex as a consultancy, the company has grown and also become a specialist partner for Dassault Systems, training provider and simulation tool developer. Claytex now works with Formula 1 and NASCAR teams as well as Automotive OEM’s to deliver models and tools covering many different applications helping to create next generation of products.