====Semantische 3D-Perzeption für robotische Systeme====

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^Dauer^4 SWS^
^Art^Vorlesung mit Übung (Online via Zoom)^
^Semester^WS2020/21^
^Vortragende^Dr. Ing. Michael Suppa^
^Übungsleitung^Ferenc Balint-Benczedi^
^Sprache^Deutsch und English^
^Voraussetzung^Echtzeit-Bildverarbeitung^
^Termine Vorlesung und Übungen^04.11.2020-24.02.2021 10:00-13:00^
^Ort^ Zoom (link per e-mail uber StudIP)^
^**Wichtige Bemerkungen**^Course and exercise alternate. Check Schedule below^ \\

**Pleas sign up for the course on [[http://www.elearning.uni-bremen.de|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:
  * Introduction to 3D
  * Features and Descriptors
  * From features to semantics
  * Scene registration – RGBD SLAM
  * Handling uncertainty in 3D
  * Perception Systems
  * Convolutional Neural Networks
  * and more

=== Course Schedule (subject to change): ===

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^Date^Activity^
^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: ===

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^**Assignment nr.**^**Handed out**^**Submission date**^
^A1^11th November^2nd December 08:00 AM^
^A2^2nd December^13th January 08:00 AM^
^A3^13th January^3rd February 08:00 AM^
^A4^3rd February^21st February 12:00 PM^


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