Strategic Objectives
• Master the fundamentals of bio-inspired movement detection.
• Implement robust visual odometry without expensive inertial sensors.
• Build navigation systems that thrive in indoors and urban canyons.
• Optimize hardware-software integration for real-time edge processing.
The Core Challenge
Traditional drones and robots fail when GPS signals are blocked or jammed, leaving autonomous systems blind and drifting.
01
The Genesis of Motion Vision
02
Navigating Without Satellites
03
Bio-Inspired Engineering
04
The Hardware of Sight
05
Texture and Contrast
06
The Lucas-Kanade Method
07
Global Flow Dynamics
08
Feature Detection and Tracking
09
Visual Odometry Fundamentals
10
The Role of Microcontrollers
11
Lenses and Field of View
12
Egomotion and Self-Awareness
13
Dealing with Motion Blur
14
Illumination and Exposure
15
Structure from Motion
16
Epipolar Geometry
17
Sensor Fusion (Without IMU)
18
Scale Ambiguity
19
Real-Time Constraints
20
Testing and Calibration
21
The Future of Visual Navigation
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