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Supporting teleoperated humanitarian aid missions with 3D visualization using remote sensing data

Angermann, Lucas Dominik and Halbgewachs, Magdalena Felicitas and Lechner, Konstanze (2024) Supporting teleoperated humanitarian aid missions with 3D visualization using remote sensing data. In: 18th 3D GeoInfo Conference 2023. Springer. 18th International 3DGeoInfo Conference 2023, 12.-14. Sept. 2023, Garching, Deutschland. ISBN 978-3-031-43698-7. ISSN 1863-2246.

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Official URL: https://link.springer.com/book/9783031436987

Abstract

Natural disasters, conflicts and vulnerable supply chains pose challenges for humanitarian aid efforts. The AHEAD project, a collaboration between the German Aerospace Center (DLR) and the World Food Programme (WFP), aims to develop a comprehensive system for delivering relief supplies through remote-controlled trucks. This study explores the potential of a multimodal 3D situational awareness map that integrates remote sensing and other geo data. This advanced map could support teleoperated truck missions in challenging environments, e.g. for route planning, terrain analysis or evaluation purposes. A key focus of this work is the additional value of a 3D visualization compared to established 2D mapping applications. Structured interviews were conducted with end users, scientists and engineers in the project to identify their needs and requirements for a 3D situational awareness map. Based on the outcomes an exemplary 3D web application integrating geodata and crisis information from remote sensing, governmental and open sources was designed and implemented for test sites in Bavaria. In situ drone imagery was captured and added to increase the local situational awareness. During the operation, the live position of the truck was continuously transmitted to the application and displayed as 3D model. The created web-based application was very well received by the end users. Especially the integration of drone imagery draped on the derived surface model in combination with the available satellite data provided a high additional value by highlighting steep slopes or other blockages in the truck’s path.

Item URL in elib:https://elib.dlr.de/197987/
Document Type:Conference or Workshop Item (Speech)
Title:Supporting teleoperated humanitarian aid missions with 3D visualization using remote sensing data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Angermann, Lucas DominikUNSPECIFIEDhttps://orcid.org/0009-0008-4181-6678147701879
Halbgewachs, Magdalena FelicitasUNSPECIFIEDhttps://orcid.org/0000-0003-1036-0109UNSPECIFIED
Lechner, KonstanzeUNSPECIFIEDhttps://orcid.org/0000-0001-7443-8521UNSPECIFIED
Date:12 January 2024
Journal or Publication Title:18th 3D GeoInfo Conference 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Kolbe, Thomas H.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Donaubauer, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Beil, ChristofUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Springer
Series Name:Lecture Notes in Geoinformation and Cartography
ISSN:1863-2246
ISBN:978-3-031-43698-7
Status:Published
Keywords:humanitarian aid; remote sensing; 3D visualization; web application; teleoperation
Event Title:18th International 3DGeoInfo Conference 2023
Event Location:Garching, Deutschland
Event Type:international Conference
Event Dates:12.-14. Sept. 2023
Organizer:Technische Universität München
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research, R - Project Hum Tech: TP AHEAD
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Angermann, Lucas Dominik
Deposited On:29 Nov 2023 11:19
Last Modified:29 Nov 2023 11:19

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