28:40
Class 16 - Stereopsis
23:37
Class 14 SfM II
17:32
Class 15 - Optical Flow
19:14
Class 13 - Structure from Motion I: Epipolar Geometry
22:21
Class 12 - Projective Transformations
21:37
Class 11 - Camera Models
25:26
Class 10 - Features in Computer Vision
27:14
Class 9 - Fundamentals of Image Processing
51:57
Class 7 - Quadrotor Controls
25:58
Class 8 - Cameras, Image Formation, GMM
10:23
Class 6 - Quadrotor Dynamics
14:38
Class 5 - Extended Kalman Filter and Unscented Kalman Filter
23:16
Class 4 - Bayes Filter, Kalman Filter
24:21
Class 3 Part 2 Hacking Bebop, DIY Research Quadrotor
31:38
Class 3 Part 1 - Quadrotor Hardware
07:27
PythonOOP
24:09
ENAE788M: Class 2 Part 2 - IMU Basics, Attitude Estimation using CF and Madgwick
31:15
ENAE788M: Class 2 Part 1: Rigid Body Transformations and Rotations
07:45
ENAE788M: Class 1 Introduction
56:46
Lecture 10: Factor Graph Based Filtering Using GTSAM
01:10:50
Lecture 7: RRT and D Star
01:02:35
Lecture 6: Dijkstra and A Star Solved Example
21:29
Lecture 8: Trajectory Planning
22:16
Class 9: Quadrotor HW
47:06
Lecture 5: Quadrotor Controls
07:20
Lecture 4: Quadrotor Dynamics
26:29
Lecture 3: Velocities
31:15
Lecture 2: Rigid Body Transformations and Rotation Matrices
45:59
Lecture 1 Part 2: Motion Planning
07:52
Lecture 1 Part 1: Course Logistics
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