Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More


Practical Course: Visual Navigation for Flying Robots (6h SWS)

In this course, you will develop and implement algorithms for the visual navigation of multicopters. This includes e.g. simultaneous localization and mapping with monocular or stereo cameras, (semi-)dense 3D reconstruction, obstacle perception and avoidance, and autonomous path planning and execution.

We will work on tasks as considered in Stage I of the EuRoC Challenge 3 for autonomous multicopters: http://www.euroc-project.eu/fileadmin/Files/Call4Challengers/EuRoC_Call4Challengers_Annex3.pdf

Further information on EuRoC, a European robotics challenge, can be found here: http://www.euroc-project.eu/

The project work will be conducted in teams of up to 3 participants. During the project work, you will be provided with PC equipment. To facilitate a direct supervision of your project work, you should make use of the lab time from 9 am to 5 pm during the project work phase.

Contact

Please direct ALL questions regarding this course at tumflyers-lab-staff@vision.in.tum.de

Date and Location

Start: Mo, September 8, 2014, 9 am c.t.

The course will take place in our lab 02.05.014. The general time is September 8 – October 10, with the following preliminary timeline:

  • introductory lectures (attendance mandatory): September 8 – 9
  • 4 weeks project phase (attendance mandatory): September 10 – October 3
  • final presentation: between October 6 – 10
  • general lab time: 9am - 5pm

Course Registration

Course registration closed.

Please write an e-mail to tumflyers-lab-staff@vision.in.tum.de if you are interested to participate!

Requirements: Good knowledge of C/C++ is recommended. Prior knowledge of topics in robotics and computer vision are a plus.

Number of participants: up to 12

Literature

Slides

TBA.

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More