Thomas Berrueta

Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing

Ensuring accurate and stable state estimation is a challenging task crucial to safety-critical domains such as high-speed autonomous racing, where measurement uncertainty must be both adaptive to the environment and temporally smooth for control. In this work, we develop a learning-based framework, …