Keyword

loop closure detection

Description: Loop closure detection is a robotics and simultaneous localization and mapping technique that recognizes when a sensor revisits a previously mapped place.

Primary topic: Robotics and Sensor-Based Localization (89%)

OpenAlex ID: keywords/loop-closure-detection

FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance

2008 · Mark Cummins, Paul Newman · The International Journal of Robotics Research · 1,472

RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments

2012 · Peter Henry, Michael Krainin, et al. · The International Journal of Robotics Research · 1,161

Dense visual SLAM for RGB-D cameras

2013 · Christian Kerl, Jurgen Sturm, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 932

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

2013 · Peter Henry, Michael Krainin, et al. · Springer tracts in advanced robotics · 809

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

2021 · Tixiao Shan, Brendan Englot, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 621

PDF

Appearance-only SLAM at large scale with FAB-MAP 2.0

2010 · Mark Cummins, Paul Newman · The International Journal of Robotics Research · 609

Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words

2008 · A. Angeli, D. Filliat, et al. · IEEE Transactions on Robotics · 514

Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments

2018 · Jens Behley, Cyrill Stachniss · 495

6D SLAM—3D mapping outdoor environments

2007 · Andreas Nüchter, Kai Lingemann, et al. · Journal of Field Robotics · 450

M2DP: A novel 3D point cloud descriptor and its application in loop closure detection

2016 · Li He, Xiaolong Wang, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 418

Online global loop closure detection for large-scale multi-session graph-based SLAM

2014 · Mathieu Labbe, Francois Michaud · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 382

PDF

Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation

2013 · Mathieu Labbe, Francois Michaud · IEEE Transactions on Robotics · 374

PDF

Switchable constraints for robust pose graph SLAM

2012 · Niko Sunderhauf, Peter Protzel · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 346

LDSO: Direct Sparse Odometry with Loop Closure

2018 · Xiang Gao, Rui Wang, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 341

PDF

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

2020 · Han Wang, Chen Wang, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 334

PDF

Outdoor SLAM using visual appearance and laser ranging

2006 · P. Newman, D. Cole, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 319

Fusion++: Volumetric Object-Level SLAM

2018 · John Mccormac, Ronald Clark, et al. · International Conference on 3D Vision (3DV) · 318

CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure

2022 · Pierre Dellenbach, Jean-Emmanuel Deschaud, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 290

PDF

LiDAR Iris for Loop-Closure Detection

2020 · Ying Wang, Zezhou Sun, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 288

PDF

A comparison of loop closing techniques in monocular SLAM

2009 · Brian Williams, Mark Cummins, et al. · Robotics and Autonomous Systems · 283

OverlapNet: Loop Closing for LiDAR-based SLAM

2020 · Xieyuanli Chen, Thomas Läbe, et al. · 282

PDF

Highly scalable appearance-only SLAM - FAB-MAP 2.0

2009 · M. Cummins, P. Newman · 282

PDF

RGB-D SLAM in Dynamic Environments Using Static Point Weighting

2017 · Shile Li, Dongheui Lee · IEEE Robotics and Automation Letters · 281

LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM

2022 · Daniele Cattaneo, Matteo Vaghi, et al. · IEEE Transactions on Robotics · 259

PDF

Inference on networks of mixtures for robust robot mapping

2013 · Edwin Olson, Pratik Agarwal · The International Journal of Robotics Research · 252

Works count: 2,130

Citation count: 34,210