Conducted real-world testing and data collection of MPC-based fuel reducing adaptive cruise control

Filtered and analyzed test data to find trends between controller conservatism and fuel consumption

Developed and implemented Learning Model Predictive Controller for fuel reduction of autonomous vehicles repeatedly travelling along same trajectory

Developed Hardware-in-the-Loop simulation platform used by the lab for quickly testing and tuning control algorithms using simulated data and test vehicle hardware