376.090 Robot Vision for Embedded System: 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.

2023S, VU, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise
  • Format: Presence

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 8. March 2023 14:00 (punctual) Computerlabor E376, CA0426. Students need to have finished the exercise part of the lecture 376.081 Machine Vision, 376.056 Machine Vision and Cognitive Robotics, or an equivalent lecture before attending this lecture.

Teaching methods

The methods correspond to a deepening of the methods from lecture 376.081 Machine Vision.
In special cases, similar or new methods are also assigned under the supervision of the assistants.

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed14:00 - 16:0008.03.2023 ACIN Computer Lab CA0426Introduction and Presentation of Topics
Wed14:00 - 16:0019.04.2023EI 2 Pichelmayer HS - ETIT Introduction to Scientific Writing
Tue14:00 - 16:0006.06.2023 https://tuwien.zoom.us/j/67077236514?pwd=NTBoYkpvVnBXSEtvbEE4eisyVS90dz09 (LIVE)Talk François Fleuret (University of Geneva)
Wed16:00 - 17:0028.06.2023 ACIN Computerlabor CA0428Final presentation
Wed16:00 - 17:0019.07.2023 ACIN Computerlabor CA0426Final presentation

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
23.02.2023 00:00 15.03.2023 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

376.081

Preceding courses

Language

English