UPenn - Robotics: Perception
- Offered byCoursera
Robotics: Perception at Coursera Overview
Duration | 33 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Robotics: Perception at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 6 in the Robotics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 33 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Robotics: Perception at Coursera Course details
- How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.
Robotics: Perception at Coursera Curriculum
Geometry of Image Formation
Introduction
Camera Modeling
Single View Geometry
More on Perspective Projection
Glimpse on Vanishing Points
Perspective Projection I
Perspective Projection II
Point-Line Duality
Rotations and Translations
Pinhole Camera Model
Focal Length and Dolly Zoom Effect
Intrinsic Camera Parameter
3D World to First Person Transformation
How to Compute Intrinsics from Vanishing Points
Camera Calibration
Setting up MATLAB
Introduction
Vanishing Points
Perspective Projection
Rotations and Translations
Dolly Zoom
Feeling of Camera Motion
How to Compute Intrinsics from Vanishing Points
Camera Calibration
Projective Transformations
Vanishing Points; How to Compute Camera Orientation
Compute Projective Transformations
Projective Transformations and Vanishing Points
Cross Ratios and Single View Metrology
Two View Soccer Metrology
Homogeneous Coordinates
Projective Transformations
Vanishing Points
Cross Ratios and Single View Metrology
Pose Estimation
Visual Features
Singular Value Decomposition
RANSAC: Random Sample Consensus I
Where am I? Part 1
Where am I? Part 2
Pose from 3D Point Correspondences: The Procrustes Problem
Pose from Projective Transformations
Pose from Point Correspondences P3P
Visual Features
Singular Value Decomposition
RANSAC
3D-3D Pose
Pose Estimation
Multi-View Geometry
Epipolar Geometry I
Epipolar Geometry II
Epipolar Geometry III
RANSAC: Random Sample Consensus II
Nonlinear Least Squares I
Nonlinear Least Squares II
Nonlinear Least Squares III
Optical Flow: 2D Point Correspondences
3D Velocities from Optical Flow
3D Motion and Structure from Multiple Views
Visual Odometry
Bundle Adjustment I
Bundle Adjustment II
Bundle Adjustment III
Epipolar Geometry
Nonlinear Least Squares
3D Velocities from Optical Flow
Bundle Adjustment
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