392161 Visuelle Roboternavigation (V) (SoSe 2024)

Contents, comment

Die Vorlesung "Visuelle Roboternavigation" gibt eine Einführung in die Methoden zur Navigation mobiler Roboter auf Basis von Kamerabildern. Hierbei werden verschiedene Ansätze für die typischen Probleme der Roboternavigation vorgestellt: lokale visuelle Navigation (Homing), Lokalisation, Kartenaufbau und visuelle SLAM-Verfahren. In den Übungen werden verschiedene Themen aus der Vorlesung in einem Robotersimulator praktisch umgesetzt.

External comments page

http://www.ti.uni-bielefeld.de/html/teaching/SS24/visnav/index.html

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Do 14-16 C01-220 08.04.-19.07.2024
not on: 5/9/24 / 5/30/24

Subject assignments

Module Course Requirements  
39-Inf-WP-MC Media Computing (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-MC-x Media Computing (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
Vorlesung zum zweiten Thema Student information
- Graded examination Student information
39-Inf-WP-R Robotik (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-R-x Robotik (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
Vorlesung zum zweiten Thema Student information
- Graded examination Student information
39-M-Inf-ASE-app Applied Autonomous Systems Engineering Applied Autonomous Systems Engineering: Vorlesung Student information
- Graded examination Student information
39-M-Inf-ASE-app-foc Applied Autonomous Systems Engineering (focus) Applied Autonomous Systems Engineering (focus): Vorlesung Student information
- Graded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

No more requirements

E-Learning Space

A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:

Registered number: 9 (1)
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
SS2024_392161@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_452966527@ekvv.uni-bielefeld.de
Coverage:
8 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, January 26, 2024 
Last update times:
Friday, February 2, 2024 
Last update rooms:
Friday, February 2, 2024 
Type(s) / SWS (hours per week per semester)
V / 2
Department
Faculty of Technology
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ID
452966527