Loop Closure Detection

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Overview

Loop closure detection asks whether a robot has returned to a mapped place, enabling SLAM to correct drift and keep trajectories and maps globally consistent. Systems typically retrieve candidates with visual or LiDAR place-recognition descriptors, then reject perceptual aliases using geometric registration, sequence or semantic consistency, and add accepted constraints to pose graphs. Research spans visual-inertial benchmarks and challenging settings such as repetitive LiDAR routes, dynamic thermal scenes, forests, radar, and sonar, with learned features, topology, and multimodal sensing extending beyond conventional appearance matching. The central tension is accepting enough true revisits to limit drift while rejecting false matches under tight compute budgets and changing viewpoints, environments, and sensors; extra semantic or spectral cues do not always improve discrimination.

Latest papers

CardsList

22 papers3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. HyperLoop: Hyperspectral-Assisted Loop Closure Detection in 3D-SLAM for Planetary Exploration

    Oct 14, 2026Annie Bhalla, Dennis Rotondi, Riccardo Giubilato +2Loop Closure DetectionSpace Robotics

    Institute for Artificial Intelligence (AI), University of Stuttgart, Universitätsstraße 32, 70569 Stuttgart, Germany. · German Aerospace Center (DLR), Institute of Robotics and Mechatronics, 82234 Oberpfaffenhofen, Germany.

  2. CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction

    Oct 1, 2026Moyang Li, Zihan Zhu, Wei Zhang +23D Foundation ModelsStreaming 3D Reconstruction

    ETH Zurich · University of Stuttgart · Microsoft

  3. BatSLAM 2.0: Sequence-Verified Sonar Place Recognition in a Robust Pose Graph

    Sep 30, 2026Jan SteckelSimultaneous Localization and MappingLoop Closure Detection

    Cosys-Lab, Faculty of Applied Engineering, University of Antwerp, 2020 Antwerp, Belgium · Flanders Make Strategic Research Centre, 3920 Lommel, Belgium

  4. Chain-SLAM: Globally Consistent Backend for Multi-Session LiDAR SLAM via Chained Loop Closure

    Sep 10, 2026Zhiheng Li, Xinhao Liu, Juexiao Zhang +2Simultaneous Localization and MappingLoop Closure Detection

    New York University.

  5. Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction

    Aug 10, 2026Tianchen Deng, Chongdi Wang, Nailin Wang +6Simultaneous Localization and Mapping3D Reconstruction

    School of Automation and Intelligent Sensing, Shanghai Jiao Tong university and State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis, Shanghai Key Laboratory of Navigation and Location Based Services, Shanghai 200240, China · Carnegie Mellon University, Pittsburgh, PA, United States · School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

  6. Look Up and Look Back: Hidden Attention and Latent Orientation in a Frozen Foundation Model for Panoramic SLAM

    Aug 2, 2026Zhuang Xiong, Guohao Zhang, Chen Zhang +4Simultaneous Localization and MappingVisual SLAM

    National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, China · School of Information Science and Technology, University of Science and Technology of China, Hefei, China

  7. DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests

    Jul 23, 2026Xin Zhao, Jianping Li, Qin Zou +3Point Cloud RegistrationLoop Closure Detection

    School of Computer Science, Wuhan University, Wuhan 430079, China

  8. Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency

    Jul 16, 2026Andreas Meuleman, Linus Franke, Boris Zhestiankin +23D Gaussian SplattingStreaming 3D Reconstruction

    Inria, Université Côte d’Azur, France · EPFL, Switzerland · Inria, Université de Rennes, France

  9. Improving Map Consistency in Graph-Based LiDAR SLAM Through Information-Aware Odometry and Retroactive Loop Closure

    Jul 15, 2026Saurabh Gupta, Niklas Trekel, Louis Wiesmann +1Pose Graph OptimizationLiDAR Odometry

    University of Bonn, Center for Robotics · Lamarr Institute for Machine Learning and Artificial Intelligence

  10. PixelLoop: Shortcut Topological Navigation with Pixel-Level Loops

    Jul 14, 2026Sarthak Chittawar, Vansh Garg, Aditya Vadali +4Robot NavigationLoop Closure Detection

    Robotics Research Center, IIIT-Hyderabad, India

  11. Route-MHT: Multimodal Transformer Guardrails for Thermal Visual Place Recognition

    Jul 6, 2026Zhiyuan Lu, Kanji TanakaThermal ImagingVisual Place Recognition

  12. FD-SLAM: Fast Dense Radar-Inertial SLAM with Frequency-Domain Loop Closure and Pose Graph Optimization

    Jun 13, 2026Nader J. Abu-Alrub, Nathir A. RawashdehSimultaneous Localization and MappingPose Graph Optimization

  13. Multi-Session Ground Texture SLAM in Low-Dynamic Environments

    May 19, 2026Kyle M. Hart, Brendan EnglotSimultaneous Localization and MappingVisual SLAM

    Naval Air Warfare Center, Aircraft Division, Lakehurst, NJ, 08733, USA

  14. Above and Below: Heterogeneous Multi-robot SLAM Across Surface and Underwater Domains

    May 10, 2026John McConnell, Armon Shariati, Paul Szenher +1Simultaneous Localization and MappingMulti-Robot Systems

    United States Naval Academy, Annapolis, MD, USA · Shield-AI, San Diego CA, USA · Stevens Institute of Technology, Hoboken, NJ, USA

  15. MR.ScaleMaster: Scale-Consistent Collaborative Mapping from Crowd-Sourced Monocular Videos

    Apr 13, 2026Hyoseok Ju, Giseop KimSimultaneous Localization and MappingMonocular 3D Reconstruction

    Department of Robotics and Mechatronics Engineering, DGIST, Daegu, Republic of Korea.

  16. FastLoop: Parallel Loop Closing with GPU-Acceleration in Visual SLAM

    Mar 17, 2026Soudabeh Mohammadhashemi, Shishir Gopinath, Kimia Khabiri +3Visual SLAMLoop Closure Detection

    Simon Fraser University. · University at Buffalo.

  17. Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM

    Mar 5, 2026Javier Laserna, Saurabh Gupta, Oscar Martinez Mozos +2Loop Closure DetectionSimultaneous Localization and Mapping

    The authors are with the ETSIDI, Universidad Polit´ecnica de Madrid, 28012 Madrid, Spain. · The authors are with the Center for Robotics, University of Bonn, Germany. · Cyrill Stachniss is additionally with the Lamarr Institute for Machine Learning and Artificial Intelligence, Germany.

  18. LST-SLAM: A Stereo Thermal SLAM System for Kilometer-Scale Dynamic Environments

    Feb 24, 2026Zeyu Jiang, Kuan Xu, Changhao ChenDynamic SLAMVisual SLAM

    PEAK-Lab, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798

  19. IRIS-SLAM: Unified Geo-Instance Representations for Robust Semantic Localization and Mapping

    Feb 21, 2026Tingyang Xiao, Liu Liu, Wei Feng +6Open-Vocabulary Semantic MappingSimultaneous Localization and Mapping

    Horizon Robotics · D-Robotics · S-Lab, Nanyang Technological University +1

  20. Calibrated Keyframe-Segment Selection for Descriptor-Agnostic LiDAR Loop Closure in Repetitive Environments

    Dec 10, 2025Jaehyun Kim, Seungwon Choi, Wonseok Kang +1Loop Closure DetectionSimultaneous Localization and Mapping

  21. LEGO-SLAM: Language-Embedded Gaussian Optimization SLAM

    Nov 20, 2025Sibaek Lee, Seongbo Ha, Kyeongsu Kang +33D Gaussian Splatting3DGS SLAM

    Department of Intelligent Robotics, Sungkyunkwan University, Suwon, South Korea

  22. A Survey on Reinforcement Learning Applications in SLAM

    Aug 26, 2024Mohammad Dehghani Tezerjani, Mohammad Khoshnazar, Mohammadhamed Tangestanizadeh +2Simultaneous Localization and MappingRL for Robotics

    Computer Science and Engineering, University of North Texas, Denton, USA · Institute of Artificial Intelligence, University of Bremen, Bremen, Germany · Computer Science and Engineering, University of California Santa Cruz, Santa Cruz, USA +1