Semantische 3D-Perzeption für robotische Systeme

Dauer4 SWS
ArtVorlesung mit Übung (Online via Zoom)
SemesterWS2020/21
VortragendeDr. Ing. Michael Suppa
ÜbungsleitungFerenc Balint-Benczedi
SpracheDeutsch und English
VoraussetzungEchtzeit-Bildverarbeitung
Termine Vorlesung und Übungen04.11.2020-24.02.2021 10:00-13:00
Ort Zoom (link per e-mail uber StudIP)
Wichtige BemerkungenCourse and exercise alternate. Check Schedule below

Pleas sign up for the course on StudIP

Description

Dr. Michael Suppa is a leading expert in robot perception and visiting professor at the University of Bremen. He worked as project manager and researcher at the Institute of Robotics and Mechatronics of the German Aerospace Center (DLR) in the research areas: robotic exploration, 3-D vision, and data fusion. From 2009 until 2015, he was the Head of the Department Perception and Cognition, a recognized world leader on key robotic research topics such as complex scene analysis, perception for resource-limited systems and robotic cognition. In March 2015 he co-founded Roboception, a DLR spin-off company devoted to advancing the State-of-the -Art in 3D sensors and vision.

The lecture covers all important aspects of 3D semantic perception with a high focus on applicability and real world tasks. Some of the topics covered by the lecture:

Course Schedule (subject to change):

DateActivity
04.11 10:00-11:30 Lecture: Introduction to 3D
11.11 10:00-11:30 Exercise: Introduction to 3D
18.11 10:00-11:30 Lecture: Acquisition of 3D data
25.11 10:00-11:30 Lecture: Features
02.12 10:00-12:30 Exercise: 2D Key-points and descriptors; Discuss A1;
09.12 10:00-11:30 Lecture: Filters
16.12 10:00-11:30 Lecture: Objects I
06.01 10:00-11:30 Lecture: Objects II
13.01 10:00-12:30 Exercise: 3D Key-points and Object recognition; Discuss A2;
20.01 10:00-11:30 Lecture: Scenes I
27.01 10:00-11:30 Lecture: Scenes II
03.02 10:00-12:30 Exercise: Segmentation; Discuss A3;
10.02 10:00-11:30 Lecture: CNNs
17.02 10:00-11:30 Lecture: Applications

Assignments Schedule:

Assignment nr.Handed outSubmission date
A111th November2nd December 08:00 AM
A22nd December13th January 08:00 AM
A313th January3rd February 08:00 AM
A43rd February21st February 12:00 PM

Three out of the four assignments must be submitted on time to enter the oral exam.