Browse State-of-the-Art › Loop Closure Detection
Loop Closure Detection
31 papers with code · 0 benchmarks · 3 datasets archive 2025-07-28
Loop closure detection is the process of detecting whether an agent has returned to a previously visited location.
( Image credit: Backtracking Regression Forests for Accurate Camera Relocalization )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 31 papers with code (89 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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12 Aug 2020 3 repositories listedFor visual SLAM algorithms, though the theoretical framework has been well established for most aspects, feature extraction and association is still empirically designed in most cases, and can be vulnerable in complex…
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29 Sep 2020 2 repositories listedIn recent years, the robotics community has extensively examined methods concerning the place recognition task within the scope of simultaneous localization and mapping applications.
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6 Mar 2025 1 repository listedWe hypothesize that a set of cross-sectional images of the forest's geometry at different heights contains the information needed to recognize revisiting a place.
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31 Jan 2025 1 repository listedIn this paper, we propose a novel loop closure detection algorithm that uses graph attention neural networks to encode semantic graphs to perform place recognition and then use semantic registration to estimate the 6…
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3 Jan 2025 1 repository listedKeyframe sampling bridges the front-end and back-end by selecting frames for storing and processing during global optimization.
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3 Oct 2024 1 repository listedRecent advances in robotics are driving real-world autonomy for long-term and large-scale missions, where loop closures via place recognition are vital for mitigating pose estimation drift.
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16 Jul 2024 1 repository listedExisting feature matching methods focus on homography and pose estimation in long-term visual localization, lacking references for geometric verification.
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13 May 2024 1 repository listedIn a novel way, we employ a stochastic reconstruction approach to build shift state space models, compressing the visual representation.
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11 Apr 2023 1 repository listedThen, we propose a graph matching approach to select correspondence objects based on the structure layout and semantic property similarity of vertices' neighbors.
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1 Mar 2023 1 repository listedIn topological SLAM the recognition takes place by comparing a signature (or feature vector) associated to the current node with the signatures of the nodes in the known map.
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1 Mar 2023 1 repository listedIn this work, we address the place recognition problem in orchards resorting to 3D LiDAR data, which is considered a key modality for robustness.
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13 Feb 2023 1 repository listedThis paper proposes \textit{Contour Context}, a simple, effective, and efficient topological loop closure detection pipeline with accurate 3-DoF metric pose estimation, targeting the urban utonomous driving scenario.
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9 Sep 2022 1 repository listedA summary of this work and our datasets and evaluation API is publicly available to the robotics community at: https://github.
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22 Jan 2022 1 repository listedIn this paper, we propose a phase based Simultaneous Localization and Mapping (Phase-SLAM) framework for fast and accurate SLI sensor pose estimation and 3D object reconstruction.
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10 Jan 2022 1 repository listedWe propose a novel approach for improving image retrieval based on previously trained models.
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31 Oct 2021 1 repository listedWe compare our L3D-based loop closure approach with recent approaches on LiDAR data and achieve state-of-the-art loop closure detection accuracy.
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27 Sep 2021 1 repository listedMulti-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous cars for localization and perception tasks, both relying on the ability to build a precise map of the environment.
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18 Sep 2021 1 repository listedNevertheless, simply finetuning the model on new data is infeasible since it may cause the model's performance on previously learned data to degrade over time, which is also known as the problem of catastrophic…
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3 Aug 2021 1 repository listedWe propose an extension to the segment-based global localization method for LiDAR SLAM using descriptors learned considering the visual context of the segments.
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16 Jul 2021 1 repository listedProbabilistic state-estimation approaches offer a principled foundation for designing localization systems, because they naturally integrate sequences of imperfect motion and exteroceptive sensor data.
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17 Jun 2021 1 repository listedLiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications.
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23 Mar 2021 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedBenefiting from the NDT representation and NDT-Transformer network, the learned global descriptors are enriched with both geometrical and contextual information.
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8 Mar 2021 1 repository listedLoop closure detection is an essential component of Simultaneous Localization and Mapping (SLAM) systems, which reduces the drift accumulated over time.
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28 Nov 2020 1 repository listedVisual place recognition has attracted widespread research interest in multiple fields such as computer vision and robotics.
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23 Sep 2020 1 repository listedIn this letter, we present a novel descriptor based on Urquhart tessellations derived from the position of trees in a forest.
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31 Jul 2020 1 repository listedIn dynamic environments, performance of visual SLAM techniques can be impaired by visual features taken from moving objects.
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12 Mar 2020 1 repository listedLoop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM).
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6 Dec 2019 1 repository listedTo this end, the novel kernel learning methods for several basic visual perceptual tasks, including object tracking, localization, mapping, and image recognition, are proposed and demonstrated both theoretically and…
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25 Nov 2019 1 repository listedVisual loop closure detection, which can be considered as an image retrieval task, is an important problem in SLAM (Simultaneous Localization and Mapping) systems.
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14 Sep 2019 1 repository listedCombined with high-level semantics, Sem-LS is more robust under cluttered environment compared with existing line-shaped representations.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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