MCity Autonomous Vehicle Challenge

Led the design and implementation of a novel Model Predictive Controller for autonomous navigation in the Mcity AV Challenge, achieving 99.39 % traffic rule compliance (top 3) and a 93.33 % trajectory completion rate (2nd highest overall). This robust MPC delivered smooth, safe trajectories under competitive conditions and generated actionable insights to boost future safety and comfort scores.