Schedule
| 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 |
slides | |
| 9/30 |
Lecture #10:
Place Recognition |
slides | |
| 10/14 |
Lecture #11:
Filtering and State Estimation |
slides | |
| 10/14 |
Lecture #12:
Non-Linear Optimization |
slides | |
| 10/21 |
Lecture #13:
Scene Reprensentation |
slides | |
| 10/21 |
Lecture #14:
Mapping |
slides | |
| Module 4: Multisensor Fusion & Vehicle Control | |||
| 10/28 |
Lecture #15:
Inertial Integration |
slides | |
| 10/28 |
Lecture #16:
Visual-Inertial Navigation |
slides | |
| 11/4 |
Lecture #17:
Point Cloud Processing |
slides | |
| 11/4 |
Lecture #18:
LiDAR-Visual Navigation |
slides | |
| 11/11 |
Lecture #19:
Trajectory Planning |
slides | |
| 11/11 |
Lecture #20:
Vehicle Motion Control |
slides | |
| Module 5: AI for Vehicle Navigation | |||
| 11/18 |
Lecture #21:
Enhancing Visual SLAM with Deep Learning I |
slides | |
| 11/18 |
Lecture #22:
Enhancing Visual SLAM with Deep Learning II |
slides | |
| 11/25 |
Lecture #23:
Embodied Navigation |
slides | |
| 11/25 |
Lecture #24:
End-to-End Self-Driving |
slides | |
| 12/2 |
Lecture #25:
Project Presentation I |
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| 12/2 | Project Presentation II | ||