Most cited papers in Robotics and Sensor-Based Localization
What are the most cited papers in Robotics and Sensor-Based Localization?
The most cited paper in Robotics and Sensor-Based Localization is "Distinctive Image Features from Scale-Invariant Keypoints" (David G. Lowe, 2004), with 56,041 citations. Next come "Random sample consensus" (26,036) and "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs" (22,754).
Showing 50 of 100 papers. Every paper with more than 2,098 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe · International Journal of Computer Vision | 2 Jun 2004 | 56,041 |
| 2 | Random sample consensus Martin A. Fischler, Robert C. Bolles · Communications of the ACM | Jun 1981 | 26,036 |
| 3 | DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 27 Apr 2017 | 22,754 |
| 4 | A method for registration of 3-D shapes Paul J. Besl, Neil David McKay · IEEE Transactions on Pattern Analysis and Machine Intelligence | Feb 1992 | 18,308 |
| 5 | Snakes: Active contour models Michael Kass, Andrew Witkin, Demetri Terzopoulos · International Journal of Computer Vision | 1988 | 17,142 |
| 6 | Are we ready for autonomous driving? The KITTI vision benchmark suite Andreas Geiger, Pascal Lenz, R. Urtasun | Jun 2012 | 14,924 |
| 7 | SURF: Speeded Up Robust Features Herbert Bay, Tinne Tuytelaars, Luc Van Gool · Lecture notes in computer science | 2006 | 14,761 |
| 8 | Speeded-Up Robust Features (SURF) Herbert Bay, Andreas Ess, Tinne Tuytelaars et al. · Computer Vision and Image Understanding | 7 Jan 2008 | 13,545 |
| 9 | YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao | Jun 2023 | 11,754 |
| 10 | An Iterative Image Registration Technique with an Application to Stereo Vision Bruce D. Lucas, Takeo Kanade | 24 Aug 1981 | 11,597 |
| 11 | ORB: An efficient alternative to SIFT or SURF Ethan Rublee, Vincent Rabaud, Kurt Konolige et al. | Nov 2011 | 10,693 |
| 12 | Vision meets robotics: The KITTI dataset Andreas Geiger, Philip Lenz, Christoph Stiller et al. · The International Journal of Robotics Research | 23 Aug 2013 | 10,105 |
| 13 | PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Raffaelli Charles, Hao Su, Kaichun Mo et al. | Jul 2017 | 9,954 |
| 14 | A Survey of Augmented Reality Ronald T. Azuma · PRESENCE Virtual and Augmented Reality | Aug 1997 | 9,848 |
| 15 | Probabilistic robotics Sebastian Thrun · Communications of the ACM | Mar 2002 | 8,102 |
| 16 | A global optimisation method for robust affine registration of brain images Mark Jenkinson, Stephen M. Smith · Medical Image Analysis | Jun 2001 | 7,274 |
| 17 | Deformable Convolutional Networks Jifeng Dai, Haozhi Qi, Yuwen Xiong et al. | Oct 2017 | 7,204 |
| 18 | A performance evaluation of local descriptors Krystian Mikolajczyk, C. Schmid · IEEE Transactions on Pattern Analysis and Machine Intelligence | 24 Aug 2005 | 6,752 |
| 19 | ORB-SLAM: A Versatile and Accurate Monocular SLAM System Raul Mur-Artal, J. M. M. Montiel, Juan D. Tardos · IEEE Transactions on Robotics | 24 Aug 2015 | 6,689 |
| 20 | Use of the Hough transformation to detect lines and curves in pictures Richard O. Duda, Peter E. Hart · Communications of the ACM | 1972 | 6,653 |
| 21 | Structure-from-Motion Revisited Johannes L. Schönberger, Jan‐Michael Frahm | Jun 2016 | 6,276 |
| 22 | ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras Raul Mur-Artal, Juan D. Tardos · IEEE Transactions on Robotics | 12 Jun 2017 | 6,248 |
| 23 | Selective Search for Object Recognition Jasper Uijlings, Koen E. A. van de Sande, Theo Gevers et al. · International Journal of Computer Vision | Apr 2013 | 6,175 |
| 24 | The quickhull algorithm for convex hulls C. Bradford Barber, David Dobkin, Hannu T. Huhdanpaa · ACM Transactions on Mathematical Software | Dec 1996 | 5,441 |
| 25 | CONDENSATION—Conditional Density Propagation for Visual Tracking Michael Isard, Andrew Blake · International Journal of Computer Vision | Aug 1998 | 4,900 |
| 26 | 3D ShapeNets: A deep representation for volumetric shapes Zhirong Wu, Shuran Song, Aditya Khosla et al. | Jun 2015 | 4,793 |
| 27 | Intelligence without representation Rodney A. Brooks · Artificial Intelligence | 1991 | 4,768 |
| 28 | Object tracking Alper Yılmaz, Omar Javed, Mubarak A. Shah · ACM Computing Surveys | 25 Dec 2006 | 4,732 |
| 29 | VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator Tong Qin, Peiliang Li, Shaojie Shen · IEEE Transactions on Robotics | 27 Jul 2018 | 4,713 |
| 30 | Machine Learning for High-Speed Corner Detection Edward Rosten, Tom W. Drummond · Lecture notes in computer science | 2006 | 4,448 |
| 31 | Parallel Tracking and Mapping for Small AR Workspaces Georg Klein, David W. Murray | Nov 2007 | 4,314 |
| 32 | ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes Angela Dai, Anne Lynn S. Chang, Manolis Savva et al. | Jul 2017 | 4,270 |
| 33 | Simultaneous localization and mapping: part I Hugh F Durrant-Whyte, T.E.R. Bailey · IEEE Robotics & Automation Magazine | Jun 2006 | 4,212 |
| 34 | ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM Carlos Campos, Richard Elvira, Juan J. Gomez Rodriguez et al. · IEEE Transactions on Robotics | 25 May 2021 | 4,192 |
| 35 | Recent advances in augmented reality Ronald T. Azuma, Yohan Baillot, Reinhold Behringer et al. · IEEE Computer Graphics and Applications | 2001 | 4,162 |
| 36 | ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications Matthew Westoby, James Brasington, Neil F. Glasser et al. · Geomorphology | 6 Sep 2012 | 4,137 |
| 37 | Survey of Wireless Indoor Positioning Techniques and Systems Hui Liu, Houshang Darabi, Pat P. Banerjee et al. · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) | 23 Oct 2007 | 4,119 |
| 38 | A benchmark for the evaluation of RGB-D SLAM systems Jrgen Sturm, Nikolas Engelhard, Felix Endres et al. | Oct 2012 | 4,086 |
| 39 | A survey of image registration techniques Lisa Gottesfeld Brown · ACM Computing Surveys | Dec 1992 | 4,065 |
| 40 | KinectFusion: Real-time dense surface mapping and tracking Richard A. Newcombe, Andrew W Fitzgibbon, Shahram Izadi et al. | Oct 2011 | 4,035 |
| 41 | Least-Squares Fitting of Two 3-D Point Sets K.S. Arun, Thomas S. Huang, Steven D. Blostein · IEEE Transactions on Pattern Analysis and Machine Intelligence | Sep 1987 | 3,997 |
| 42 | MonoSLAM: Real-Time Single Camera SLAM Andrew J. Davison, Ian D. Reid, Nicholas Molton et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 25 Apr 2007 | 3,984 |
| 43 | Fast Point Feature Histograms (FPFH) for 3D registration Radu Bogdan Rusu, Nico Blodow, Michael Beetz | May 2009 | 3,961 |
| 44 | VoxNet: A 3D Convolutional Neural Network for real-time object recognition Daniel Maturana, Sebastian Scherer | Sep 2015 | 3,650 |
| 45 | 3D Object Representations for Fine-Grained Categorization Jonathan Krause, Michael M. Stark, Jia Hao Deng et al. | Dec 2013 | 3,595 |
| 46 | Design and use paradigms for gazebo, an open-source multi-robot simulator Nathan Koenig, A. Howard | Apr 2005 | 3,557 |
| 47 | A tutorial on visual servo control Seth Hutchinson, Gregory D. Hager, Peter Corke · IEEE Transactions on Robotics and Automation | 1996 | 3,533 |
| 48 | RRT-connect: An efficient approach to single-query path planning James Kuffner, Steven M. LaValle | 7 Nov 2002 | 3,525 |
| 49 | Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age Cesar Cadena, Luca Carlone, Henry Carrillo et al. · IEEE Transactions on Robotics | Dec 2016 | 3,484 |
| 50 | BRISK: Binary Robust invariant scalable keypoints Stefan Leutenegger, Margarita Chli, Roland Siegwart | Nov 2011 | 3,473 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.