Current Projects

Embedded Machine Learning (2019-2026, Christian Doppler Laboratory)

The CD Lab will conduct embedded machine learning research with the following target applications: Object identification in still and moving images, and scene analysis and recognition.

Project partners:

  • Vienna University of Technology
  • AVL List GmbH
  • Mission Embedded GmbH
  • Siemens AG

Several industrial research projects/contract research.

Our research activities range from object detection and tracking to obstacle detection, from fine-grained classification to semantic segmentation, and from pose estimation to superresolution.

HighScene (2021-2024, FFG Mobilität der Zukunft)

Online scenario generation from motorway video infrastructure.

The goals of High-Scene are, on the one hand, to increase road safety (reduce the number of accidents) and, on the other hand, to improve and increase the realism of simulations of automated driving.

Project partners:

  • ASFINAG
  • ALP.Lab GmbH

Finished Projects

INTERACT (2020-2023, FFG Mobilität der Zukunft)

Improved holistic assessment of pedestrian protection.

The aim of INTERACT is to improve the effectivity assessment of active pedestrian safety systems, which contributes to the prevention of pedestrian accidents and the reduction of injury severities.

Project partners:

  • Infineon Technologies Austria AG
  • AVL List GmbH
  • TU Graz Institutes VSI & FTG
  • Robert Bosch GmbH
  • Mercedes-Benz AG

Automated Pedestrian Traffic Light (2021-2024)

Model and hardware improvements for the next generation traffic lights which use object detection, tracking and intent prediction to optimize pedestrian traffic flow and automatically control traffic lights.

Project partners:

DigiColl (2020-2023, FFG Smart Cities)

The aim of the project is to introduce a nationwide smart digital waste collection system in order to have a lasting effect on the separation behaviour and to optimise collection routes. An essential aspect of this is the transition from analogue waste collection to a smart service for citizens, who will be integrated bidirectionally into the waste disposal processes.

Project partners:

  • Saubermacher AG
  • JOANNEUM Research
  • Austria Glas Recycling GmbH
  • Stummer Kommunalfahrzeuge GmbH

KI-Waste (2021-2023, Green Tech 100)

Climate and environmental protection has top priority in Styria. In order to make a sustainable contribution, modern processes in an innovative circular economy are required. In the KI-Waste project, the recycling process in waste management is to be fundamentally and sustainably modernized. Using artificial intelligence, data generated by image recognition in waste processing is jointly analyzed with time series data in order to re-model and optimize the overall process in the recycling machines.

Project partners:

  • Know-Center GmbH
  • JOANNEUM Research
  • Komptech GmbH

iLIDS4SAM (2020-2023, FFG ICT of the Future)

Integrated LiDAR sensors for safe & smart automated mobility.

Project partners:

  • Infineon Technologies Austria AG
  • ams-OSRAM
  • AVL List GmbH
  • EV Group E. Thallner GmbH
  • FH Campus Wien
  • Peschak Autonome Systeme GmbH
  • RIEGL Research
  • Silicon Austria Labs
  • TTTech Automotive
  • Virtual Vehicle Research GmbH

Instant Avatar (2019-2022, FFG ICT of the Future)

Instant generation of photorealistic human models with mobile devices.

Project partners:

Dynamic Ground Truth (2017-2021, FFG Mobilität der Zukunft)

Focus on semantic segmentation to enable efficient testing of Advanced Driver Assistance Systems (ADAS) and Automated Driving Functions (ADF).

Project partners:

  • AVL List GmbH
  • TTTech Automotive AG
  • Vexcel Imaging GmbH
  • Virtual Vehicle Research GmbH
  • JOANNEUM Research

DARKNET (2016-2018, FFG KIRAS)

Focus on text recognition and generative models.

Project partners:

3D Toll (2016-2018, FFG BRIDGE)

Focus on 3D reconstruction from image sequences and object detection for toll systems.

Project partner: EFKON AG.

Automated Traffic Light (2015-2018)

Object detection, tracking and intent prediction to optimize pedestrian traffic flow and automatically control traffic lights.

Project partners:

DIANGO (2013-2016, FFG KIRAS)

Focus on co-training from heterogeneous sources and image classification.

Project partners:

MANGO (2013-2016, FFG Bridge)

Focus on food recognition, image representation and fine-grained classification on distributed systems.

Project partners:

Advanced Learning for Tracking and Detection in Medical Workflow Analysis (2011-2015, FWF DACH)

Focus on online learning for multiple object detection and tracking in a multi-camera environment.

Project partners:

FACTS (2011-2014, FFG RSA)

Focus on face detection, tracking and recognition, as well as emotion recognition.

Project partners:

Quality Eye (2013, FFG Innovation Check+)

Focus on food recognition and segmentation.

Project partner: JIPP.IT.

Kiwi Cloud & Kiwi Background (2012-2013, both FFG)

Focus on online learning and background modeling.

Project partner: Kiwi Security.

SHARE (2011-2013, FFG I2Vsplus)

Focus on online learning for person counting on embedded devices.

Project partners:

Mobi-Trick (2010-2013, FFG FIT-IT)

Focus on online learning for car detection and tracking using embedded devices.

Project partners:

OUTLIER (2009-2012, FFG FIT-IT)

Focus on image representations for unusual event recognition.

Project partners:

MDL (2009-2012, FFG KIRAS)

Focus on face recognition, detection and tracking using multiple instance learning, semi-supervised learning and online learning.

Project partners:

ECV (2008-2012, FFG COMET, contract research)

Focus on person re-identification.

Project partners:

SECRET (2009-2011, FFG KIRAS)

Focus on activity recognition.

Project partners:

AUTOVISTA (2007-2010, FFG FIT-IT)

Focus on person detection and tracking.

Project partners:

Highway Monitoring (2008-2009, FFG FIT-IT)

Focus on car detection and tracking.

Project partners:

VITUS-2 (2005-2006, FFG)

Focus on car detection and tracking for tunnel safety.

Project partners:

FSP/JRP Cognitive Vision (2004-2006, FWF)

Focus on online learning and object detection.

Project partners:

  • Pattern Recognition and Image Processing Group (TU Vienna)
  • Institute of Electrical Measurement and Measurement Signal Processing (TU Graz)
  • Automation and Control Institute (TU Vienna)
  • Institute for Theoretical Computer Science (TU Graz)
  • Center for Usability Research and Engineering
  • Austrian Research Institute for Artificial Intelligence
  • MPI for Biological Cybernetics Tübingen
  • Chair for Information Technology (University of Leoben)