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Developing advanced driver assistant systems

Abstract

The demand for ADAS and autonomous vehicle (AV) technologies, which provide safety, comfort, and environmentally friendly vehicles, has been growing rapidly in the automotive industry recently. These systems go beyond vehicle-centric assistant applications, such as automatic emergency braking (AEB) and traction control, by integrating traffic and environmental information. Simcenter Engineering services develop model predictive control (MPC) algorithms for these advanced applications. This involves collaborative research and development activities from fields such as mechanical, electrical engineering, control, communications, and computer science.

What you get from this white paper

  • They need to guarantee safety in a wide variety of traffic scenarios while taking into account vehicle dynamics constraints such as nonholonomic properties, and acceleration and steering constraints
  • The car should drive in a similar manner to human driving; that is, not only in a safe and legal fashion but in a smooth and comfortable manner. This is challenging, especially when driving in urban areas or at high speed on highways

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