Strategic Objectives
• Master the geometric principles of monocular and stereo vision systems.
• Understand how to extract reliable landmarks from chaotic visual environments.
• Learn the algorithms that allow machines to map unknown territories in real-time.
• Explore the future of passive, light-based autonomous guidance.
The Core Challenge
Traditional GPS and radio-based navigation fail in dense urban canyons, deep forests, and extraterrestrial environments where signals cannot reach.
01
The Eyes of Autonomy
02
The Geometry of Light
03
Digital Image Formation
04
The Mechanics of Optics
05
Finding Meaning in Pixels
06
Robust Feature Descriptors
07
Motion Through the Lens
08
Depth Perception with Two Eyes
09
Epipolar Geometry
10
Visual Odometry
11
Simultaneous Localization and Mapping
12
The Bundle Adjustment
13
Structure from Motion
14
Photogrammetric Principles
15
Pose Estimation
16
The Kalman Filter in Vision
17
Deep Learning for Navigation
18
Visual Inertial Odometry
19
The Challenge of Dynamic Scenes
20
Planetary Visual Navigation
21