FN Archimer Export Format
PT J
TI OV2SLAM: A Fully Online and Versatile Visual SLAM for Real-Time Applications
BT 
AF Ferrera, Maxime
   Eudes, Alexandre
   Moras, Julien
   Sanfourche, Martial
   Le Besnerais, Guy
AS 1:1,2;2:1;3:1;4:1;5:1;
FF 1:PDG-DFO-SM-PRAO;2:;3:;4:;5:;
C1 DTIS, ONERA, Université Paris-Saclay, Palaiseau, France
   IFREMER, Ctr. Méditerranée, Underwater System Unit, CS20330, La-Seyne-Sur-Mer, France
C2 ONERA, FRANCE
   IFREMER, FRANCE
SI TOULON
SE PDG-DFO-SM-PRAO
IN WOS Ifremer UPR
   copubli-france
IF 4.321
TC 33
UR https://archimer.ifremer.fr/doc/00684/79583/82305.pdf
LA English
DT Article
DE ;SLAM;localization;mapping;field robotics
AB Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or autonomous driving, require versatile, robust and precise solutions, most often with real-time capability. In this work, we describe OV 2 SLAM, a fully online algorithm, handling both monocular and stereo camera setups, various map scales and frame-rates ranging from a few Hertz up to several hundreds. It combines numerous recent contributions in visual localization within an efficient multi-threaded architecture. Extensive comparisons with competing algorithms shows the state-of-the-art accuracy and real-time performance of the resulting algorithm. For the benefit of the community, we release the source code: https://github.com/ov2slam/ov2slam . 
PY 2021
PD APR
SO Ieee Robotics And Automation Letters
SN 2377-3766
PU Institute of Electrical and Electronics Engineers (IEEE)
VL 6
IS 2
UT 000622097700016
BP 1399
EP 1406
DI 10.1109/LRA.2021.3058069
ID 79583
ER

EF