Building Key Competencies for
Autonomous Vehicle Development

Automated driving spans a wide range of automation levels, from advanced driver assistance systems (ADAS) to fully autonomous driving (AD). As the level of automation increases, the use cases become less restricted and testing requirements increase, making the need for simulating scenarios in virtual worlds more critical. Developing these automated driving applications requires multidisciplinary skillsfrom planning and controls to perception disciplines such as detection, localization, tracking, and fusion—in an environment that supports the design, validation, and deployment of increasingly complex software.

In this white paper, you will learn how automotive engineers can:
Manage validation complexity by building virtual worlds and leveraging simulation
 Develop multidisciplinary skills to navigate fundamental changes to automotive
 Develop software applications to meet ISO 26262

Simulate virtual worlds, build multidisciplinary skills, and deliver software for complex autonomous systems

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Use simulation models to design and verify the algorithms and deploy it to hardware using automatic code generation. 

Explore set of products for automated driving.

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