Cited by 93Robotics and Sensor-Based Localization3D Surveying and Cultural HeritageAdvanced Image and Video Retrieval Techniques

Loop closure detection in SLAM by combining visual and spatial appearance

Ho, Kin Leong, Newman, Paul·2006·Robotics and Autonomous Systems

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Crossref · 10.1016/j.robot.2006.04.016

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  • New methods have been developed to account for illumination variations by matching sequences, gathering different visual appearances into a unified representation, or using spatial and appearance information.

    “This has led to develop new methods that explicitly account for such variations by matching sequences [173], gathering different visual appearances into a unified representation [48], or using spatial as well as appearance information [106].”

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Authors
Ho, K. L., & Newman, P.
Affiliations
University of Oxford (GB)
Corresponding author
Newman, Paul
Venue
Robotics and Autonomous Systems
Publisher
Elsevier BV
Published
2006-09
Volume
54
Issue
9
Pages
740-749
ISSN
0921-8890 (ISSN-L)
OpenAlex
W2164549458
Cited by
93
References
28
Citations by year
2025: 2 · 2024: 2 · 2023: 6 · 2022: 13 · 2021: 5 · 2020: 8 · 2019: 6 · 2018: 13 · 2017: 7 · 2016: 7 · 2015: 2 · 2014: 4 · 2013: 6 · 2012: 1
FWCI
6.03
Type
journal article
Language
en
Open access
closed
Locations
Robotics and Autonomous Systems (publishedVersion)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
  • Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
Keywords
loop closure detection, SLAM, mobile robots, visual appearance, laser rangefinder

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