The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 23 of 193
Back to Result List

Small commercial UAVs for indoor Search and Rescue Missions

  • This technical report is about the architecture and integration of very small commercial UAVs (< 40 cm diagonal) in indoor Search and Rescue missions. One UAV is manually controlled by only one single human operator delivering live video streams and image series for later 3D scene modelling and inspection. In order to assist the operator who has to simultaneously observe the environment and navigate through it we use multiple deep neural networks to provide guided autonomy, automatic object detection and classification and local 3D scene modelling. Our methods help to reduce the cognitive load of the operator. We describe a framework for quick integration of new methods from the field of Deep Learning, enabling for rapid evaluation in real scenarios, including the interaction of methods.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Hartmut Surmann, Tiffany Kaiser, Artur Leinweber, Gerhard Senkowski, Dominik Slomma, Marc Thurow
URN:urn:nbn:de:hbz:1010-opus4-40529
DOI:https://doi.org/10.1109/ICARA51699.2021.9376551
ISBN:978-1-6654-4645-7
Parent Title (English):Konferenz: 7th International Conference on Automation, Robotics and Applications (ICARA), 4.-6. Februar 2021 in Prag (Tschechien)
Publisher:IEEE
Place of publication:Prag
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2022/01/07
Year of first Publication:2021
Publishing Institution:Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen
Release Date:2022/01/07
GND Keyword:Robotik
Pagenumber:8
First Page:106
Last Page:113
Departments / faculties:Fachbereiche / Informatik und Kommunikation
Licence (German):License LogoCreative Commons - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen

$Rev: 13159 $