Master data

Selbstorganisierende UAS Schwärme zur Einsatzunterstützung in Katastrophenfällen und bei der Vermisstensuche
Description:

UASwarm aims at a monitoring-system consisting of a self-organizing UAS (Unmanned Air- craft system, drones) swarm, which is capable of receiving information in almost real time about an affected area (e.g. in the event of forest fires, search for missing persons) and the situation to enable image creation as well as the progress control of fire fighting and rescue work.

Important innovative components to be developed are swarm coordination of different types of UAS, navigation without GNSS signal, real-time and broadband communication in the swarm, flight platforms capable of swarming, light, scenario-adapted multi-sensor platforms (VIS, NIR, etc.) and AI-based real-time capable fusion, evaluation and information acquisition (situation images position) from the data of the swarm. The goal is a demonstrator of the UAS swarm and a proof-of-concept (PoC) test.

Keywords: swarm coordination, GNSS denied navigation, collaborative state estimation
Short title: UASwarm
Period: 02.11.2020 - 31.12.2023
Contact e-mail: -
Homepage: -

Categorisation

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

Cooperations

No partner organisations selected