Date	Lecture	Slides	Note
Module 1: Introduction
9/2	Lecture #1: Introduction	slides
9/2	Lecture #2: Visual Navigation System Overview	slides
Module 2: 3D Vision Foundations
9/9	Lecture #3: 3D Motion Model	slides
9/9	Lecture #4: Camera Model	slides
9/16	Lecture #5: Feature Detection & Description	slides
9/16	Lecture #6: Lie Groups	slides
Module 3: Visual Localization and Mapping
9/23	Lecture #7: Visual Pose Estimation	slides
9/23	Lecture #8: Feature-Based Visual Odometry	slides
9/30	Lecture #9: Direct Visual Odometry
9/30	Lecture #10: Place Recognition
10/14	Lecture #11: Filtering and State Estimation
10/14	Lecture #12: Non-Linear Optimization
10/21	Lecture #13: Scene Reprensentation
10/21	Lecture #14: Mapping
Module 4: Multisensor Fusion & Vehicle Control
10/28	Lecture #15: Inertial Integration
10/28	Lecture #16: Visual-Inertial Navigation
11/4	Lecture #17: Point Cloud Processing
11/4	Lecture #18: LiDAR-Visual Navigation
11/11	Lecture #19: Trajectory Planning
11/11	Lecture #20: Vehicle Motion Control
Module 5: AI for Vehicle Navigation
11/18	Lecture #21: Enhancing Visual SLAM with Deep Learning
11/25	Lecture #22: Embodied Navigation
11/25	Lecture #23: End-to-End Self-Driving
12/2	Project Presentation