MonoSLAM : real-time single camera SLAM

We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM, is the first successful application of the SLAM methodology from mobile robotics to the "pure vision" domain of...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 29(2007), 6 vom: 14. Juni, Seite 1052-67
1. Verfasser: Davison, Andrew J (VerfasserIn)
Weitere Verfasser: Reid, Ian D, Molton, Nicholas D, Stasse, Olivier
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
LEADER 01000naa a22002652 4500
001 NLM169636410
003 DE-627
005 20231223121749.0
007 tu
008 231223s2007 xx ||||| 00| ||eng c
028 5 2 |a pubmed24n0566.xml 
035 |a (DE-627)NLM169636410 
035 |a (NLM)17431302 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Davison, Andrew J  |e verfasserin  |4 aut 
245 1 0 |a MonoSLAM  |b real-time single camera SLAM 
264 1 |c 2007 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a Date Completed 27.06.2007 
500 |a Date Revised 13.04.2007 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM, is the first successful application of the SLAM methodology from mobile robotics to the "pure vision" domain of a single uncontrolled camera, achieving real time but drift-free performance inaccessible to Structure from Motion approaches. The core of the approach is the online creation of a sparse but persistent map of natural landmarks within a probabilistic framework. Our key novel contributions include an active approach to mapping and measurement, the use of a general motion model for smooth camera movement, and solutions for monocular feature initialization and feature orientation estimation. Together, these add up to an extremely efficient and robust algorithm which runs at 30 Hz with standard PC and camera hardware. This work extends the range of robotic systems in which SLAM can be usefully applied, but also opens up new areas. We present applications of MonoSLAM to real-time 3D localization and mapping for a high-performance full-size humanoid robot and live augmented reality with a hand-held camera 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Reid, Ian D  |e verfasserin  |4 aut 
700 1 |a Molton, Nicholas D  |e verfasserin  |4 aut 
700 1 |a Stasse, Olivier  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on pattern analysis and machine intelligence  |d 1979  |g 29(2007), 6 vom: 14. Juni, Seite 1052-67  |w (DE-627)NLM098212257  |x 1939-3539  |7 nnns 
773 1 8 |g volume:29  |g year:2007  |g number:6  |g day:14  |g month:06  |g pages:1052-67 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 29  |j 2007  |e 6  |b 14  |c 06  |h 1052-67