Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Exploiting Context and Semantics for UAV Path-finding in an Urban Setting
Örebro University, School of Science and Technology. (AASS, Machine Perception and Interaction Lab)ORCID iD: 0000-0002-4001-2087
Örebro University, School of Science and Technology. (AASS, Machine Perception and Interaction Lab)ORCID iD: 0000-0002-0305-3728
Örebro University, School of Science and Technology. Örebro University, School of Law, Psychology and Social Work. (AASS, Machine Perception and Interaction Lab)ORCID iD: 0000-0002-1470-6288
Örebro University, School of Science and Technology. (AASS, Machine Perception and Interaction Lab)ORCID iD: 0000-0002-0579-7181
Show others and affiliations
2017 (English)In: Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics (AnSWeR 2017), Portoroz, Slovenia, May 29th, 2017 / [ed] Emanuele Bastianelli, Mathieu d'Aquin, Daniele Nardi, Technical University Aachen , 2017, p. 11-20Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we propose an ontology pattern that represents paths in a geo-representation model to be used in an aerial path planning processes. This pattern provides semantics related to constraints (i.e., ight forbidden zones) in a path planning problem in order to generate collision free paths. Our proposed approach has been applied on an ontology containing geo-regions extracted from satellite imagery data from a large urban city as an illustrative example.

Place, publisher, year, edition, pages
Technical University Aachen , 2017. p. 11-20
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1935
Keywords [en]
Semantic Web for Robotics, Representation and reasoning for Robotics, Ontology Design Pattern, Path Planning
National Category
Engineering and Technology Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-64603Scopus ID: 2-s2.0-85030752502OAI: oai:DiVA.org:oru-64603DiVA, id: diva2:1178227
Conference
International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th Extended Semantic Web Conference (ESWC), Portoroz, Slovenia, 28th May-1st June, 2017
Projects
Semantic RobotAvailable from: 2018-01-29 Created: 2018-01-29 Last updated: 2018-09-10Bibliographically approved

Open Access in DiVA

Exploiting Context and Semantics for UAV Path-finding in an Urban Setting(967 kB)76 downloads
File information
File name FULLTEXT01.pdfFile size 967 kBChecksum SHA-512
f42cc8bb92dd76efa28a3efce6ea7b52f85e3a104b7fd3a730d4a63c46abb1f1d7f0bfbde5f2d30309a68a49e1db34e5e49c790051b5b121a11aa08e7e53f55d
Type fulltextMimetype application/pdf

Other links

ScopusFulltext

Search in DiVA

By author/editor
Alirezaie, MarjanKiselev, AndreyKlügl, FranziskaLängkvist, MartinLoutfi, Amy
By organisation
School of Science and TechnologySchool of Law, Psychology and Social Work
Engineering and TechnologyComputer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 76 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 104 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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