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Distributed and Collaborative Sensing for Providing Situation and Option Awareness
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Tina.Erlandsson@saabgroup.com. (Skövde Artificial Intelligence Lab (SAIL))
Saab AB.
Saab AB.
2016 (Engelska)Ingår i: Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference / [ed] Zdravko Markov and Ingrid Russell, Palo Alto, California: AAAI Press, 2016, s. 704-704Konferensbidrag, Poster (med eller utan abstract) (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Palo Alto, California: AAAI Press, 2016. s. 704-704
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Teknik; Skövde Artificial Intelligence Lab (SAIL)
Identifikatorer
URN: urn:nbn:se:his:diva-13415ISBN: 978-1-57735-756-8 (tryckt)OAI: oai:DiVA.org:his-13415DiVA, id: diva2:1078224
Konferens
FLAIRS 2016
Projekt
Human-machine interaction for distributed decision-making
Forskningsfinansiär
VINNOVA, NFFP-2013-01201Tillgänglig från: 2017-03-02 Skapad: 2017-03-02 Senast uppdaterad: 2018-03-28Bibliografiskt granskad

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

Person

Erlandsson, Tina

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