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Advanced Simulation Solutions for Building Autonomous Vehicles

As the automotive industry evolves, we’ve seen the emergence of driver assist systems, automated driving, and fully autonomous vehicle development. The nature of the systems is such they can only be developed by extensive testing (million miles of testing a month), which is only possible through simulation. The large amounts of testing data thus generated makes it extremely crucial to invest in process and data architecture, and leverage machine learning and artificial intelligence techniques.

In addition, these new systems require real-time simulation capabilities which means that hardware and software components need to be “in the loop.” Tools such as Adams Real Time and Virtual Test Drive (VTD) cab help enable these complexities and provide the right environments where the vehicles can be evaluated effectively.

Key Features

Adoption of Machine Learning (ML) & Artificial Intelligence (AI)

Since, virtual testing generates a massive amount of data, autonomous driving solutions from MAC Software help engineering and design professionals to extract meaningful data, thus reducing redundancy and increasing process efficiency.

Ability to predict real-time vehicle performance

MSC’s Autonomous Driving solution enables engineers and designers to simulate and predict the vehicle performance on a real-time basis. This can be integrated with "XiL" systems that bring hardware components such as sensors, controllers, steering, brakes, etc., drivers and driving simulators, as well as other software components directly on the same interface.

Efficient Virtual Test Drive

Efficiently model the fidelity for Xil applications using powerful features of Adams Real Time, all while preserving the native link to complex off-line models such as nonlinear flexibility, detailed powertrains, and others.

Virtual Test Drive allows engineers to create, configure, visualize virtual environments, wherein a vehicle model can be thoroughly assessed and validated before proceeding to the physical prototype.

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