Introduction to Computer Vision & Robotics
Details
In this course, concepts important for robotic applications will be taught as e.g.:
- Sensors and actuators
- Robot control
- Movement generation methods
- Path planning
- Learning algorithms in robotics
- Image filtering
- Line, Circle & Feature Detection
- Image segmentation techniques
Module: B.Phy.5668 Credits: 3 CP
Organizers:
Tomas Kulvicius, tkulvic@gwdg.de, E.01.104
Schedule
The lecture will be held via BBB weekly on wednesdays 10:15 - 11:45. Link to the BBB event: see StudIP link above.
The 1st exam (written, in person) will take place on 16.02.2022 at 15:00 in HS1 and HS2.
The 2nd exam (written, in person) will take place on 06.04.2022 at 15:00 in HS5.
Lecture 127.10.2021Introduction of course and tutors | |
Lecture 203.11.2021R1. Introduction to Robotics. Sensors and actuators | Presentation Video Kalman Filter Demo |
Lecture 310.11.2021R2. Robot kinematics and control | Presentation Video Denavit-Hartenberg Convention Control Demo Kinematics Demo |
Lecture 417.11.2021CV1. Thresholding, Filtering & Connected Components | Presentation Video Jupyter Notebook |
Lecture 524.11.2021CV2. Bilateral Filtering, Morphological Operators & Edge Detection | Presentation Video Jupyter Notebook |
Lecture 601.12.2021CV3. Corner Detection & Non-Local Filtering | Presentation Video Jupyter Notebook Corner Detection Non local Means |
Lecture 708.12.2021R3. Path planning algorithms | Video Part 1 Video Part 2 Presentation Papers Dijkstra Demo |
Lecture 815.12.2021R4. Movement generation methods | Presentation Video DMP Demo |
Lecture 922.12.2021CV4. Line/Circle Detection, Template Matching & Feature Detection | Presentation Video Jupyter Notebook |
Lecture 1012.01.2022CV5. Face Detection, Pedestrian Tracking | Presentation Video Jupyter Notebook |
Lecture 1119.01.2022CV6. Segmentation & Computer Vision in 3D | Presentation Video Jupyter Notebook |
Lecture 1226.01.2022R5. Learning algorithms in robotics I: Supervised and unsupervised learning | Presentation Video Correlation Learning Demo |
Lecture 1302.02.2022R6. Learning algorithms in robotics II: Reinforcement learning | Presentation Video PI2 Demo Q-Learning Demo RL Tutorial |
Lecture 1409.02.2022Q&A |
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