Joint Austrian Computer Vision and Robotics Workshop

Call for Papers

Joint Austrian Computer Vision and Robotics Workshop

April 16-17, 2020, Graz, Austria

http://www.roboticsworkshop.at

The joint workshop aims at further fostering collaboration of Austria‘s Computer Vision and Robotics communities and of discussing emerging topics in both fields. We look forward to the presentation and discussion of recent research as well as current projects from the Austrian Computer Vision and Robotics communities.

The workshop will be held at Graz University of Technology from 16 to 17 April, 2020 and is supported by Gesellschaft für Mess-, Automatisierungs- und Robotertechnik (GMAR) and by the Austrian Association for Pattern Recognition (AAPR). A specific goal is to strengthen the cooperation between academia and industry. Therefore, the contributions and participation from industry is strongly encouraged, e.g., with short spotlight papers. The workshop will be organized in the two tracks, Computer Vision and Robotics, with shared presentations and invited talks of common interest.

The general topics of the workshop include, but are not limited to:

General Topics Robotics:

- Robot kinematics and dynamics

- Modelling and control

- Mechatronic design

- Robot perception

- Human-Robot interaction; usability

- SLAM and navigation

- Estimation, diagnosis and learning

- Planning and plan execution

- Knowledge representation and reasoning

- Software engineering and architectures for mobile robots

- Safety & security

- Collaborative robots – cobots

- Autonomous systems, UAV, UGV

- Field, service and rescue robots

- Construction robotics

- Industrial applications

General Topics Computer Vision: 

- Pattern recognition

- Statistical methods & learning

- Detection, recognition & categorization

- Motion & tracking

- 3D vision, stereo & structure from motion

- Image & video retrieval

- Cognitive vision

- Mobile & embedded computer vision

- Image denoising, restoration & enhancement

- Scene modelling & understanding

- Photogrammetry & remote sensing

- Video analysis & event recognition

- Safety & security

- Face & gesture analysis

- Biometrics & medical image analysis

- Clinical & biological applications

- Industrial applications

Workshop Organization

Conference Chairs: 

- Peter M. Roth, TU Graz

- Gerald Steinbauer, TU Graz

Computer Vision Track Chairs: 

- Friedrich Fraundorfer, TU Graz

- Roland Perko, JOANNEUM RESEARCH DIGITAL & TU Graz

Robotics Track Chairs: 

- Mathias Brandstötter, JOANNEUM RESEARCH ROBOTICS

- Gerald Steinbauer, TU Graz

Important Dates 

- February 14, 2020: Paper submission deadline

- March 20, 2020: Notification of acceptance; start of registration

- April 3, 2020: Camera-ready paper submission deadline

- April 10, 2020: Registration deadline

- April 16-17, 2020: Workshop

Submission Types 

- Research paper (4–6 pages)

- Industrial or scientific spotlight (1–2 pages)

- Student poster (2 pages)

Paper Electronic Submission 

All contributions must be submitted before the deadline via the EasyChair conference system (https://easychair.org/conferences/?conf=acvrw20). Papers must be formatted according to the templates available for download at the workshop’s homepage. All submissions will be subject to peer-review by at least three members of the program committee. Only submissions with at least one registered author will be included in the workshop proceedings, which will be published in digital format via Verlag der TU Graz. To highlight excellent work, there will be two best paper awards:

OCG Best Paper Award (Computer Vision track) and IEEE RAS Austria Best Paper Award (Robotics track). In addition, there will be an IEEE Women in Engineering Best Paper Award donated by AIT to highlight outstanding work by female authors.

Venue 

Graz University of Technology, Geodesy and Mathematics Building, Steyrergasse 30, 8010 Graz, Austria

Contact

For more information, please consult http://www.roboticsworkshop.at or contact This email address is being protected from spambots. You need JavaScript enabled to view it..