Master data

MOdular, Distributed and Uncertainty aware sensor-fusionfor Long-term Exploration with autonomous Systems
Description:

MODULES tackles the challenges of high-precision state estimation with the application to approach, landing, and subsequent take-off of a multi-copter on a landing pad for autonomous recharging. The goal is to develop a reliable algorithm for state estimation using multiple sensor modalities in a consistent and real-time multi-sensor fusion framework which will serve as back-bone for the high-precision maneuvers. In addition to the data fusion of multiple sensors in a given sensor suite, the question of how to increase modularity of such a framework such that sensor signals and entire sensor modules can adaptively be added and removed in-flight without disabling state estimation for reliable UAV navigation will be analyzed. System self-calibration, fast state convergence and consistency are key aspects to be considered.

Keywords: Modular Sensor Fusion
Short title: MODULES
Period: 01.10.2016 - 09.06.2020
Contact e-mail: -
Homepage: -

Employees

Categorisation

Project type Research funding (on request / by call for proposals)
Funding type §27
Research type
  • Applied research
Subject areas
  • 202037 - Signal processing
  • 202035 - Robotics
Research Cluster
  • Self-organizing systems
Gender aspects Genderrelevance not selected
Project focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups No working group selected

Funding

Funding program
BRIDGE
Organisation: Österreichische Forschungsförderungsgesellschaft mbH (FFG)

Cooperations

No partner organisations selected