Navigation

Research on navigation focuses on state and parameter estimation, object perception through sensors, and inference of intentions or meta-level information. This field integrates estimation theory with cutting-edge machine learning techniques to enhance performance. It also involves sensor-level fusion and information fusion methods to extract and integrate meaningful insights from diverse data sources. These advancements enable robust situational awareness and effective decision-making in complex and dynamic environments.

2-1. Filtering / State Estimation

2-2. Intent Inference, Sensor Fusion

2-3. AI-Aided Filtering

2-4. Guidance Filter Design