Cited by 439Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging3D Surveying and Cultural Heritage

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Visual SLAM: Why filter?

Strasdat, Hauke, Montiel, J.M.M., Davison, Andrew J.·2012·Image and Vision Computing

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Research works printed but not linked: 15

  1. Azarbayejani, 1995, Recursive estimation of motion, structure, and focal length, IEEE Trans. Pattern Anal. Mach. Intell., 17, 562, 10.1109/34.387503 · DOI
  2. Bell, 1993, The iterated Kalman filter update as a Gauss–Newton method, IEEE Trans. Autom. Control., 38, 294, 10.1109/9.250476 · DOI
  3. Chiuso, 2002, Structure from motion causally integrated over time, IEEE Trans. Pattern Anal. Mach. Intell., 24, 523, 10.1109/34.993559 · DOI
  4. Chli, 2009, Active matching for visual tracking, Robot. Auton. Syst., 57, 1173, 10.1016/j.robot.2009.07.010 · DOI
  5. Civera, 2008, Inverse depth parametrization for monocular SLAM, IEEE Trans. Rob., 24, 932, 10.1109/TRO.2008.2003276 · DOI
  6. Civera, 2010, 1-point RANSAC for EKF filtering. Application to real-time structure from motion and visual odometry, J. Field Rob., 27, 609, 10.1002/rob.20345 · DOI
  7. Dyer, 1969, Extension of square-root filtering to include process noise, J. Optim. Theory Appl., 3, 444, 10.1007/BF00929358 · DOI
  8. E. Eade. Monocular Simultaneous Localisation and Mapping. PhD thesis, University of Cambridge, 2008.
  9. Kaess, 2008, iSAM: incremental smoothing and mapping, IEEE Trans. Rob., 24, 1365, 10.1109/TRO.2008.2006706 · DOI · Paper page
  10. Konolige, 2008, FrameSLAM: from bundle adjustment to real-time visual mapping, IEEE Trans. Rob., 24, 1066, 10.1109/TRO.2008.2004832 · DOI
  11. Mahony, 2002, The geometry of the Newton method on non-compact Lie groups, J. Glob. Optim., 23, 309, 10.1023/A:1016586831090 · DOI
  12. Mei, 2011, RSLAM: a system for large-scale mapping in constant-time using stereo, Int. J. Comput. Vision, 94, 198, 10.1007/s11263-010-0361-7 · DOI
  13. Neira, 2001, Data association in stochastic mapping using the joint compatibility test, IEEE Trans. Robot. Autom., 17, 890, 10.1109/70.976019 · DOI · Paper page
  14. Nistér, 2004, An efficient solution to the five-point relative pose problem, IEEE Trans. Pattern Anal. Mach. Intell., 26, 756, 10.1109/TPAMI.2004.17 · DOI · Paper page
  15. Pinies, 2008, Large scale SLAM building conditionally independent local maps: application to monocular vision, IEEE Trans. Rob., 24, 1094, 10.1109/TRO.2008.2004636 · DOI

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Metadata

Authors
Strasdat, H., Montiel, J. M. M., & Davison, A. J.
Affiliations
  • Imperial College London (GB)
  • Universidad de Zaragoza (ES)
Corresponding author
Strasdat, Hauke
Venue
Image and Vision Computing
Publisher
Elsevier BV
Published
2012-02
Volume
30
Issue
2
Pages
65-77
ISSN
0262-8856 (ISSN-L)
OpenAlex
W49679257
Cited by
439
References
0
Citations by year
2026: 9 · 2025: 25 · 2024: 28 · 2023: 37 · 2022: 44 · 2021: 47 · 2020: 47 · 2019: 50 · 2018: 33 · 2017: 41 · 2016: 15 · 2015: 24 · 2014: 19 · 2013: 17 · 2012: 2
FWCI
33.37
Type
journal article
Language
en
Open access
closed
Locations
Image and Vision Computing (publishedVersion)
Funders
  • Imperial College London
  • Ministerio de Economía y Competitividad
  • Universidad de Zaragoza
  • FP7 Information and Communication Technologies
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
Keywords
visual SLAM, structure from motion, filtering algorithms, sparse bundle adjustment, real-time SLAM, stereo SLAM, monocular SLAM, entropy reduction, computational cost, Monte Carlo simulation

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