Semantische 3D-Perzeption für robotische Systeme

Dauer4 SWS
ArtVorlesung mit Übung
SemesterWS2019/20
VortragendeDr. Ing. Michael Suppa
ÜbungsleitungFerenc Balint-Benczedi,Jan-Hendrik Worch, Feroz Siddiky
SpracheDeutsch und English
VoraussetzungEchtzeit-Bildverarbeitung
Termine Vorlesung und Übungen17.10.2019-02.02.2020 10:00-14:00
Ort TAB-Gebäude (Am Fallturm 1), Eingang E, Raum 0.36
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:

  • 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):

The order and date of exercises is subject to change. Check back regularly.

DateActivity
17.10 10:00-11:30 and 12:30-14:00Lecture: Introduction to 3D and Acquisition of 3D data
24.10 10:00-11:30Exercise: Introduction to 3D
07.11 10:00-11:30 and 12:30-14:00 Lecture: Features and Filters
14.11 10:00-11:30Exercise: 2D Keypoints and descriptors
28.11 10:00-11:30 and 12:30-14:00 Lecture: Objects I and Objects II
05.12 10:00-11:30Exercise: 3D Features and Object recognition
19.12 10:00-11:30 and 12:30-14:00 Lecture: Scenes I and Scenes II
16.01 10:00-11:30 and 12:30-14:00 Lecture: CNNs and Applications
23.01 10:00-11:30Exercise: Segmentation of kitchen scene
30.01 10:00-11:30Exercise: Exercise using CNNs

Assignments Schedule:

Assignment nr.Handed outSubmission date
A124th October13th November 08:00 AM
A214th November4th December 08:00 AM
A35th December12th January 08:00 AM
A423rd January10th February 12:00 PM

Three out of the four assignments must be submitted on time to enter to oral exam. Assignments will not be graded, but they will form a basis for discussion during the oral exam