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| MAKL7514 | Vision Based Control | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of MECHANICAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Mustafa Yavuz COŞKUN | | Co-Lecturer | | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | provide students the background for control of mobile systems and robots using vision. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Vision and robotics, Position and orientation, Basics of image processing, Image feature extraction, Stereo image processing, Vision based control, Visual servoing. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to Vision and Robotics | | | Week 2 | Position and Orientation | | | Week 3 | Basics of Image Processing | | | Week 4 | Basics of Image Processing | | | Week 5 | Basics of Image Processing | | | Week 6 | Feature Extraction | | | Week 7 | Feature Extraction | | | Week 8 | Midterm and Assignment presentations | | | Week 9 | Stereo Image Processing | | | Week 10 | Stereo Image Processing | | | Week 11 | Vision based control | | | Week 12 | Vision based control | | | Week 13 | Visual servoing | | | Week 14 | Visual servoing | | | Week 15 | Presentations | | | Week 16 | Final exam | | | |
| 1 | Peter Corke, Robotics, Vision and Control, Springer, 2012 | | | |
| 1 | . S. George Lee, King-Sun Fu, and Rafael C. Gonzalez, Robotics: Control, Sensing, Vision, and Intelligence, McGraw-Hill Education | | | 2 | Rafael C. Gonzalez and Richard Eugene Woods, Digital Image Processing. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Homework/Assignment/Term-paper | 3 | 26/9/2017 | | 50 | | End-of-term exam | 14 | 2/12/2017 | | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | | |
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