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Sensor Fusion and Motion Control for Autonomous Racing Cars

Learn how a research team from the Technical University of Munich uses Speedgoat real-time solutions, MATLAB® and Simulink® to develop and test an autonomous driving software stack, capable of operating a racing vehicle close to its physical limits. As an integral part of the framework, sensor fusion and motion control algorithms are optimized and validated for safe and accurate real-time operation, using Rapid Control Prototyping and Hardware-in-the-Loop simulation.

Key insights of this article are:

  • Importance of real-time prototyping and testing
  • Hardware and software setup
  • Sensor fusion and motion control algorithms overview
  • Performance evaluation

 

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