his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Distributed and Collaborative Sensing for Providing Situation and Option Awareness
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Tina.Erlandsson@saabgroup.com. (Skövde Artificial Intelligence Lab (SAIL))
Saab AB.
Saab AB.
2016 (English)In: Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference / [ed] Zdravko Markov and Ingrid Russell, Palo Alto, California: AAAI Press, 2016, 704-704 p.Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Teams of manned and unmanned aircraft have the opportunityto gather a huge amount of information regardingthe situation at hand. Together they can cover larger areasas well as sensing the same objects from different directionsenabling triangulation using combination of activeand/or passive sensors as well as image recognition. Combiningthis data with intelligence, maps and weather informationhas the potential of providing both the teams andthe commanders with situation awareness. This informationshould aid the decision makers to identify possibleoptions and anticipate their consequences, which is alsoknown as option awareness. A number of challenges needto be resolved in order to actualize this scenario. Thecommander who is interested in the entire battlespaceneeds to decide how to distribute the teams in air. Eachteam needs to collaborate to perform its tasks, taking intoaccount the members’ capabilities and resources, such assensor and communication ranges. The teams should alsorequest support from each other when needed. At all levels,there is a trade-off between gathering valuable informationand avoiding risk exposure. In this initial work, we elaborateon the opportunities and challenges with distributedand collaborative sensing with the aim of providing situationand option awareness for both commanders and pilots.

Place, publisher, year, edition, pages
Palo Alto, California: AAAI Press, 2016. 704-704 p.
National Category
Computer Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-13415ISBN: 978-1-57735-756-8 (print)OAI: oai:DiVA.org:his-13415DiVA: diva2:1078224
Conference
FLAIRS 2016
Projects
Human-machine interaction for distributed decision-making
Funder
VINNOVA, NFFP-2013-01201
Available from: 2017-03-02 Created: 2017-03-02 Last updated: 2017-11-27Bibliographically approved

Open Access in DiVA

No full text

Other links

http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/13202

Authority records BETA

Erlandsson, Tina

Search in DiVA

By author/editor
Erlandsson, Tina
By organisation
School of InformaticsThe Informatics Research Centre
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 174 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf