376.055 Robot Vision: Selected Topics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VU, 4.0h, 6.0EC
TUWEL

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to conduct small projects in the research field of robot vision and machine vision. They will be able to report results in the correct scientific manner and be able to present results in form of a paper and short presentation.

Subject of course

Select a topic from a given list or propose a topic in agreement with the lecturer. Directly work with the assigned assistant to understand all aspects of the topic and work on an implementation of a solution. Work will be based on an publication.

Attendance is required in the first lecture to get a topic assigned on 2. March 2022 14:00 (punctual) Computerlabor E376, CA0426. The lecture will also be streamed via Zoom for students who are unable to attend. The URL can be found in the TUWEL course. 

Teaching methods

The methods correspond to a deepening of the methods from lecture 376.054 Machine Vision and Cognitive Robotics.
In special cases, similar or new methods are also assigned under the supervision of the assistants.

Mode of examination

Written and oral

Additional information

Always combined with 376.056

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed14:00 - 16:0002.03.2022Computerlabor E376, CA0426 Introduction and Presentation of Topics
Fri14:00 - 16:0024.06.2022Computerlabor E376, CA0426 Final Presentation 1
Fri14:00 - 16:0015.07.2022Computerlabor E376, CA0426 Final Presentation 2

Examination modalities

2-page scientific paper following the IEEE format plus short presentation of the scientific work and the results. The paper and presentation are graded by the supervising assistant and the professor.

Course registration

Begin End Deregistration end
01.02.2022 00:00 21.03.2022 23:55

Registration modalities

Please sign on in TISS. This is mandartory.

Curricula

Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Not specified
066 506 Energy Systems and Automation Technology Not specified

Literature

No lecture notes are available.

Previous knowledge

376.054 Machine Vision and Cognitive Robotics

Preceding courses

Accompanying courses

Miscellaneous

  • Attendance Required!

Language

English