liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Performance evaluation of a light weight multi-echo LIDAR for unmanned rotorcraft applications
Linköpings universitet, Institutionen för datavetenskap, Artificiell intelligens och integrerade datorsystem. Linköpings universitet, Tekniska högskolan. (KPLAB)
Linköpings universitet, Institutionen för datavetenskap, Artificiell intelligens och integrerade datorsystem. Linköpings universitet, Tekniska högskolan. (KPLAB, Collaborative Robotics)
Linköpings universitet, Institutionen för datavetenskap, Artificiell intelligens och integrerade datorsystem. Linköpings universitet, Tekniska högskolan. (KPLAB)
Linköpings universitet, Institutionen för datavetenskap, Artificiell intelligens och integrerade datorsystem.
Vise andre og tillknytning
2013 (engelsk)Inngår i: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W2, Copernicus Gesellschaft MBH , 2013Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The paper presents a light-weight and low-cost airborne terrain mapping system. The developed Airborne LiDAR Scanner (ALS) sys- tem consists of a high-precision GNSS receiver, an inertial measurement unit and a magnetic compass which are used to complement a LiDAR sensor in order to compute the terrain model. Evaluation of the accuracy of the generated 3D model is presented. Additionally, a comparison is provided between the terrain model generated from the developed ALS system and a model generated using a commer- cial photogrammetric software. Finally, the multi-echo capability of the used LiDAR sensor is evaluated in areas covered with dense vegetation. The ALS system and camera systems were mounted on-board an industrial unmanned helicopter of around 100 kilograms maximum take-off weight. Presented results are based on real flight-test data.

sted, utgiver, år, opplag, sider
Copernicus Gesellschaft MBH , 2013.
Serie
International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 2194-9034
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-95889ISI: 000358305000016OAI: oai:DiVA.org:liu-95889DiVA, id: diva2:639341
Konferanse
Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g 2013), 4-6 September 2013, Rostock, Germany
Prosjekter
Artificial Intelligence & Integrated Computer Systems
Forskningsfinansiär
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsEU, FP7, Seventh Framework ProgrammeLinnaeus research environment CADICSTilgjengelig fra: 2013-08-07 Laget: 2013-08-07 Sist oppdatert: 2019-07-03

Open Access i DiVA

Fulltekst mangler i DiVA

Personposter BETA

Conte, GianpaoloKleiner, AlexanderRudol, PiotrWzorek, MariuszDoherty, Patrick

Søk i DiVA

Av forfatter/redaktør
Conte, GianpaoloKleiner, AlexanderRudol, PiotrWzorek, MariuszDoherty, Patrick
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric

urn-nbn
Totalt: 390 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf