Navigation for Autonomous Systems

Navigation is a key element in many autonomous systems, from self-driving cars to flying robots. In this course you will learn about the technologies that enable autonomous navigation. Topics: navigational system design using GPS as an example; data-driven approach using machine learning and deep learning; model-based approach using probabilistic graph model; theory-based approach using formal verification; intelligent navigational sensor fusion; cyber security and integrity monitoring for localization and navigation. Prerequisites: AA 228 or EE 278; and EE 263 or AA 212. Recommended: AA 272, EE 261, AA 273.