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Sensorsysteme zur Lokalisierung von verschütteten Personen in eingstürzten Gebäuden (SORTIE) FKZ: 13N15189

The primary research objective is to improve the detection of trapped victims in collapsed infrastructure with respect to sensitivity, reliability, speed and safety of the responders. In this project, we will develop an autonomous unmanned aerial vehicle (UAV) system that can augment the process of urban search and rescue and that helps limiting the severe impacts of the disaster scenario. This will be enabled by combining sensing principles such as bioradiolocation, cellphone localization, gas detection and 3D mapping into a single unit. The seamless combination of intelligent UAVs equipped with the multi-sensor system will allow the rescue management team to quickly assess the situation in order to initiate rescue procedures as fast as possible.

Ansprechpartner: Valada A
Email: valada@informatik.uni-freiburg.de
Projektbeginn: 2020
Projektende: 2022
Burgard W, Reindl L.M., Valada A

Albert-Ludwigs-Universität Freiburg
Robot Learning
Juniorprofessor Dr. Abhinav Valada
Georges-Köhler-Allee 080
79110 Freiburg

Telefon: +49-761-203-8025
Email: valada@cs.uni-freiburg.de

  • German Federal Ministry of Education and Research (BMBF), call International Disaster and Risk Management (IKARIM), BMBF

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