Simulating Automated Driving Vehicles
The development and testing of automated driving vehicles calls for new simulation solutions. MSC's tools work together to address a breadth of challenges in development and validation of driver assist systems to fully autonomous vehicles.
Driver assist systems, automated driving, and fully autonomous vehicle development requires many millions of kilometers testing a month, which can be achieved through simulation. The huge amount of data generated by virtual testing of autonomous vehicle underlines the importance of process and data architecture, machine learning and artificial intelligence techniques.
Other key topics to meet the demand for simulation include real-time capabilities so the vehicle model can work together with "XiL" systems that brings hardware (sensors, controllers, steering, brakes, etc.) drivers and driving simulators directly "in the loop".
Adams Real Time provides capability to precisely tune the accuracy required for XiL applications, while maintaining a native link to off-line models that include complexities such as nonlinear flexibility, detailed powertrains, and others.
Virtual Test Drive (VTD) enables users to create, configure and visualize complete virtual environments, in which vehicle models can be fully evaluated and validated in nearly any conceivable condition of operation.
Aerospace and Defence - trainers and simulators, unmanned aerial vehicles (UAVs)
Automotive - driver assist systems, vehicle to vehicle interactions, traffic simulation, autonomous vehicles
Heavy Equipment - agricultural and mining equipment, trucks
- Government - intelligent highways, vehicle to infrastructure interactions, standards and certification
- Adams Real Time
- SimManager: Simulation Process and Data Management
- Virtual Test Drive: Complete tool-chain for driving simulation applications
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