Innovative, civil UAV Control Platform ReLoaded

Project: Funded researchFFG - Austrian Research Promotion Agency

Project Details

Description

INCONTROL-RL (Innovative, civil UAV Control Platform ReLoaded) in which TTTech Computertechnik AG partners with the Institute for Machine Learning of the Johannes Kepler University Linz (JKU), who conducts internationally leading research in the field of Deep Learning and Reinforcement Learning, which is at the heart of Modern AI. The project's aim is to research and develop a platform at up to TRL 4 level for autonomous operation of UAVs and air-taxi light aircraft. For this purpose, a back-bone network shall allow combining fully digitized air-vehicle control using AI elements and investigating the certifiability. The final target of the project is to set-up a laboratory platform with the complete avionics for a helicopter like UAV and pave the way for later miniaturization of the avionics in an ASIC including compliance to airworthiness rules and processes. INCONTROL-RL will observe the airworthiness processes and design rules in order to assure that its results can serve as the basis for the planned carry-on development up to product level beyond the project goals. Other partners of the project are Schiebel Elektronische Geräte GmbH, the Institute for Microelectronics of the Technical University Vienna and Austro Control Österreichische Gesellschaft für Zivilluftfahrt mit beschränkter Haftung.
StatusFinished
Effective start/end date01.10.202030.09.2023

Fields of science

  • 101031 Approximation theory
  • 102 Computer Sciences
  • 305901 Computer-aided diagnosis and therapy
  • 102033 Data mining
  • 101029 Mathematical statistics
  • 102032 Computational intelligence
  • 101028 Mathematical modelling
  • 102013 Human-computer interaction
  • 305905 Medical informatics
  • 101027 Dynamical systems
  • 101004 Biomathematics
  • 101026 Time series analysis
  • 202017 Embedded systems
  • 101024 Probability theory
  • 305907 Medical statistics
  • 102019 Machine learning
  • 202037 Signal processing
  • 202036 Sensor systems
  • 102018 Artificial neural networks
  • 103029 Statistical physics
  • 202035 Robotics
  • 106005 Bioinformatics
  • 106007 Biostatistics
  • 101019 Stochastics
  • 101018 Statistics
  • 101017 Game theory
  • 101016 Optimisation
  • 102001 Artificial intelligence
  • 101015 Operations research
  • 102004 Bioinformatics
  • 101014 Numerical mathematics
  • 102003 Image processing

JKU Focus areas

  • Digital Transformation