Modulinformationssystem Informatik

 

Master project - Underwater Vision URL PDF XML

Modulcode: infMPUwVi
Englische Bezeichnung: Master project - Underwater Vision
Modulverantwortliche(r): Prof. Dr. Kevin Köser
Turnus: unregelmäßig (WS23/24 SS24)
Präsenzzeiten: 4PÜ
ECTS: 10
Workload: 300 Std. Projektarbeit, davon 60 Std. betreut
Dauer: ein Semester
Modulkategorien: MSc-Inf-Proj (MSc Inf (21))
Lehrsprache: Englisch
Voraussetzungen: Info

Kurzfassung:

This master project provides the opportunity to apply and deepen theoretical knowledge from computer vision or robotics to a concrete practical problem. At the start of the semester students will pick concrete projects, for which they work together through the semester in small teams to achieve the goals.

Lernziele:

Students will train to work in a team, to analyze the requirements for a practrical project and to plan the steps to achieve the goals. They will also learn to tackle a complex problem in computer vision or robotics and the use of large software libraries.

Lehrinhalte:

Deepening the understanding of computer vision methods or robotic perception approaches using practical problems from the field of underwater vision. Projects will vary for each semester. Check https://www.marine.informatik.uni-kiel.de for updated information.

Weitere Voraussetzungen:

This master project targets students that have ideally completed the classes "Introduction to Image Processing"/"3D Computer Vision" or "Probabilistic Robotics" or those that have equivalent knowledge such that they understand how to use images or other robotic sensor data.

Prüfungsleistung:

Presentations including demonstration, report and the completed software system (incl. documentation).

Lehr- und Lernmethoden:

project work

Verwendbarkeit:

Literatur:

https://szeliski.org/Book/ https://colmap.github.io/ Probabilistic Robotics Book (only from vpn/university network): https://ebookcentral.proquest.com/lib/christianalbrechts/detail.action?docID=6246533

Verweise:

Kommentar:

There are only few seats available in this course. Please contact Kevin Köser directly by email (kk@informatik.uni-kiel.de) in case you are interested. Approval is mandatory before registering for the class. First meeting will take place on a Wednesday afternoon at the beginning of the semester. Check https://www.marine.informatik.uni-kiel.de for updated information.