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Sensor Fusion and Motion Control for Autonomous Racing Cars

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.

Rapid Control Prototyping

Hardware-in-the-Loop

Whitepapers

10 Ways to Speed Design for Digitally Controlled Power Converters with Simulink

10 Ways to Speed Design for Digitally Controlled Power Converters with Simulink

This whitepaper highlights ways to accelerate digital control development for power converters with system-level simulation, how to validate control code on the processor without damaging electrical system hardware and developing real-time simulations of your electrical system.

Hardware-in-the-Loop

Rapid Control Prototyping

Whitepapers

Motion Planning and Experimental Validation for an Autonomous Bicycle

Motion Planning and Experimental Validation for an Autonomous Bicycle

This paper introduces a prototype autonomous two-wheeled vehicle developed for experimental verification of motion planning and control algorithms. Finally, it presents and discusses experiments run on the actual vehicle for a particular maneuver. It emphasizes the differences between the trajectories created by different vehicle models.

Publication on ieeexplore.ieee.org

Published Papers

Rapid Control Prototyping

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