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 skills—from 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 engineering Develop software applications to meet ISO 26262
Simulate virtual worlds, build multidisciplinary skills, and deliver software for complex autonomous systems