000175351 001__ 175351
000175351 005__ 20190316235319.0
000175351 037__ $$aCONF
000175351 245__ $$aAUTOMATIC MAPPING FROM ULTRA-LIGHT UAV IMAGERY
000175351 269__ $$a2012
000175351 260__ $$c2012
000175351 336__ $$aConference Papers
000175351 520__ $$aThis paper presents an affordable, fully automated and accurate mapping solutions based on ultra-light UAV imagery, which is commercialized by Pix4D. We show interesting application in the field of UAV mapping, analyse the accuracy of the automated processing on several datasets. The accuracy highly depends on the ground resolution (flying height) of the input imagery. When chosen appropriately this mapping solution can compete with traditional mapping solutions that capture fewer high-resolution images from airplanes and that rely on highly accurate orientation and positioning sensors on board. Due to the careful integration with recent computer vision techniques, the result is robust and fully automatic and can deal with inaccurate position and orientation information which are typically problematic with traditional techniques.
000175351 6531_ $$aUAV, mapping, ortho-image, DSM, Structure and Motion
000175351 700__ $$0244088$$g182325$$aStrecha, Christoph
000175351 700__ $$0242717$$g161058$$aKüng, Olivier
000175351 700__ $$aFua, Pascal$$g112366$$0240252
000175351 7112_ $$dFebruary 8-10, 2012$$cBarceloa, Spain$$aEuroCOW 2012
000175351 8564_ $$uhttp://www.pix4d.com/$$zURL
000175351 8564_ $$uhttps://infoscience.epfl.ch/record/175351/files/eurocow_strecha.pdf$$zn/a$$s426545$$yn/a
000175351 909C0 $$xU10659$$0252087$$pCVLAB
000175351 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:175351$$pIC
000175351 917Z8 $$x182325
000175351 937__ $$aEPFL-CONF-175351
000175351 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000175351 980__ $$aCONF