{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/simultaneous-localization-and-mapping/papers/2","list_of":"/task/simultaneous-localization-and-mapping","task":"Simultaneous Localization and Mapping","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":6,"rows_per_page":100,"rows":[101,200],"of":572,"counts":{"archive_papers_tagged":572,"with_a_code_link":186,"where_syntology_ran_a_sample":14,"not_listed_spam_title":0,"listed":572,"listed_where_code_ran":14,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":9,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":9,"listed_every_run_a_failure_of_syntologys_instrument":5,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/simultaneous-localization-and-mapping","prev":"/task/simultaneous-localization-and-mapping","next":"/task/simultaneous-localization-and-mapping/papers/3","papers":[{"url":"/paper/islam-imperative-slam","slug":"islam-imperative-slam","title":"iSLAM: Imperative SLAM","date":"2023-06-13","arxiv_id":"2306.07894","repositories_listed":1,"syntology":null},{"url":"/paper/volume-droid-a-real-time-implementation-of","slug":"volume-droid-a-real-time-implementation-of","title":"Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAM","date":"2023-06-12","arxiv_id":"2306.06850","repositories_listed":1,"syntology":null},{"url":"/paper/rotation-synchronization-via-deep-matrix","slug":"rotation-synchronization-via-deep-matrix","title":"Rotation Synchronization via Deep Matrix Factorization","date":"2023-05-09","arxiv_id":"2305.05268","repositories_listed":1,"syntology":null},{"url":"/paper/event-based-simultaneous-localization-and","slug":"event-based-simultaneous-localization-and","title":"Event-based Simultaneous Localization and Mapping: A Comprehensive Survey","date":"2023-04-19","arxiv_id":"2304.09793","repositories_listed":1,"syntology":null},{"url":"/paper/loop-closure-detection-based-on-object-level","slug":"loop-closure-detection-based-on-object-level","title":"Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency","date":"2023-04-11","arxiv_id":"2304.05146","repositories_listed":1,"syntology":null},{"url":"/paper/photometric-lidar-and-rgb-d-bundle-adjustment","slug":"photometric-lidar-and-rgb-d-bundle-adjustment","title":"Photometric LiDAR and RGB-D Bundle Adjustment","date":"2023-03-29","arxiv_id":"2303.16878","repositories_listed":1,"syntology":null},{"url":"/paper/region-prediction-for-efficient-robot","slug":"region-prediction-for-efficient-robot","title":"Region Prediction for Efficient Robot Localization on Large Maps","date":"2023-03-01","arxiv_id":"2303.00295","repositories_listed":1,"syntology":null},{"url":"/paper/sups-a-simulated-underground-parking-scenario","slug":"sups-a-simulated-underground-parking-scenario","title":"SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving","date":"2023-02-25","arxiv_id":"2302.12966","repositories_listed":1,"syntology":null},{"url":"/paper/flsea-underwater-visual-inertial-and-stereo","slug":"flsea-underwater-visual-inertial-and-stereo","title":"FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets","date":"2023-02-24","arxiv_id":"2302.12772","repositories_listed":1,"syntology":null},{"url":"/paper/real-time-simultaneous-localization-and","slug":"real-time-simultaneous-localization-and","title":"Real-Time Simultaneous Localization and Mapping with LiDAR intensity","date":"2023-01-23","arxiv_id":"2301.09257","repositories_listed":1,"syntology":null},{"url":"/paper/swarm-slam-sparse-decentralized-collaborative","slug":"swarm-slam-sparse-decentralized-collaborative","title":"Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems","date":"2023-01-16","arxiv_id":"2301.06230","repositories_listed":1,"syntology":null},{"url":"/paper/adaptslam-edge-assisted-adaptive-slam-with","slug":"adaptslam-edge-assisted-adaptive-slam-with","title":"AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization","date":"2023-01-11","arxiv_id":"2301.04620","repositories_listed":1,"syntology":null},{"url":"/paper/hpointloc-point-based-indoor-place","slug":"hpointloc-point-based-indoor-place","title":"HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images","date":"2022-12-30","arxiv_id":"2212.14649","repositories_listed":1,"syntology":null},{"url":"/paper/shared-coupling-bridge-for-weakly-supervised","slug":"shared-coupling-bridge-for-weakly-supervised","title":"Shared Coupling-bridge for Weakly Supervised Local Feature Learning","date":"2022-12-14","arxiv_id":"2212.07047","repositories_listed":1,"syntology":null},{"url":"/paper/eslam-efficient-dense-slam-system-based-on","slug":"eslam-efficient-dense-slam-system-based-on","title":"ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields","date":"2022-11-21","arxiv_id":"2211.11704","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/eslam-efficient-dense-slam-system-based-on#ran","syntology_url":"https://syntology.ai/paper/2211.11704","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.11704"}},"official":null}},{"url":"/paper/self-improving-slam-in-dynamic-environments","slug":"self-improving-slam-in-dynamic-environments","title":"Self-Improving SLAM in Dynamic Environments: Learning When to Mask","date":"2022-10-15","arxiv_id":"2210.08350","repositories_listed":1,"syntology":null},{"url":"/paper/det-slam-a-semantic-visual-slam-for-highly","slug":"det-slam-a-semantic-visual-slam-for-highly","title":"Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2","date":"2022-10-01","arxiv_id":"2210.00278","repositories_listed":1,"syntology":null},{"url":"/paper/general-place-recognition-survey-towards-the","slug":"general-place-recognition-survey-towards-the","title":"General Place Recognition Survey: Towards the Real-world Autonomy Age","date":"2022-09-09","arxiv_id":"2209.04497","repositories_listed":1,"syntology":null},{"url":"/paper/r-3-live-a-robust-real-time-radiance","slug":"r-3-live-a-robust-real-time-radiance","title":"R$^3$LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state Estimator","date":"2022-09-08","arxiv_id":"2209.03666","repositories_listed":1,"syntology":null},{"url":"/paper/deflowslam-self-supervised-scene-motion","slug":"deflowslam-self-supervised-scene-motion","title":"D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance","date":"2022-07-18","arxiv_id":"2207.08794","repositories_listed":1,"syntology":null},{"url":"/paper/object-structural-points-representation-for","slug":"object-structural-points-representation-for","title":"Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping","date":"2022-06-21","arxiv_id":"2206.10263","repositories_listed":1,"syntology":null},{"url":"/paper/atdn-vslam-an-all-through-deep-learning-based","slug":"atdn-vslam-an-all-through-deep-learning-based","title":"ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and Mapping","date":"2022-06-13","arxiv_id":"2206.05963","repositories_listed":1,"syntology":null},{"url":"/paper/struct-mdc-mesh-refined-unsupervised-depth","slug":"struct-mdc-mesh-refined-unsupervised-depth","title":"Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM","date":"2022-04-29","arxiv_id":"2204.13877","repositories_listed":1,"syntology":null},{"url":"/paper/tune-your-place-recognition-self-supervised","slug":"tune-your-place-recognition-self-supervised","title":"Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognition","date":"2022-03-08","arxiv_id":"2203.04446","repositories_listed":1,"syntology":null},{"url":"/paper/sage-slam-with-appearance-and-geometry-prior","slug":"sage-slam-with-appearance-and-geometry-prior","title":"SAGE: SLAM with Appearance and Geometry Prior for Endoscopy","date":"2022-02-19","arxiv_id":"2202.09487","repositories_listed":1,"syntology":null},{"url":"/paper/phase-slam-phase-based-simultaneous","slug":"phase-slam-phase-based-simultaneous","title":"Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems","date":"2022-01-22","arxiv_id":"2201.09048","repositories_listed":1,"syntology":null},{"url":"/paper/high-resolution-ecosystem-mapping-in","slug":"high-resolution-ecosystem-mapping-in","title":"High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM","date":"2022-01-10","arxiv_id":"2201.03364","repositories_listed":1,"syntology":null},{"url":"/paper/why-so-deep-towards-boosting-previously","slug":"why-so-deep-towards-boosting-previously","title":"Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition","date":"2022-01-10","arxiv_id":"2201.03212","repositories_listed":1,"syntology":null},{"url":"/paper/nice-slam-neural-implicit-scalable-encoding","slug":"nice-slam-neural-implicit-scalable-encoding","title":"NICE-SLAM: Neural Implicit Scalable Encoding for SLAM","date":"2021-12-22","arxiv_id":"2112.12130","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":3,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/nice-slam-neural-implicit-scalable-encoding#ran","syntology_url":"https://syntology.ai/paper/2112.12130","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2112.12130"}},"official":{"repos":["cvg/nice-slam"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/autonomous-navigation-system-from","slug":"autonomous-navigation-system-from","title":"Autonomous Navigation System from Simultaneous Localization and Mapping","date":"2021-12-14","arxiv_id":"2112.07723","repositories_listed":1,"syntology":null},{"url":"/paper/a-scan-to-locality-map-strategy-for-2d-lidar","slug":"a-scan-to-locality-map-strategy-for-2d-lidar","title":"A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data Fusion","date":"2021-12-02","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/the-hilti-slam-challenge-dataset","slug":"the-hilti-slam-challenge-dataset","title":"The Hilti SLAM Challenge Dataset","date":"2021-09-23","arxiv_id":"2109.11316","repositories_listed":1,"syntology":null},{"url":"/paper/airloop-lifelong-loop-closure-detection","slug":"airloop-lifelong-loop-closure-detection","title":"AirLoop: Lifelong Loop Closure Detection","date":"2021-09-18","arxiv_id":"2109.08975","repositories_listed":1,"syntology":null},{"url":"/paper/logg3d-net-locally-guided-global-descriptor","slug":"logg3d-net-locally-guided-global-descriptor","title":"LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition","date":"2021-09-17","arxiv_id":"2109.08336","repositories_listed":1,"syntology":null},{"url":"/paper/so-slam-semantic-object-slam-with-scale","slug":"so-slam-semantic-object-slam-with-scale","title":"SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints","date":"2021-09-10","arxiv_id":"2109.04884","repositories_listed":1,"syntology":null},{"url":"/paper/dsp-slam-object-oriented-slam-with-deep-shape","slug":"dsp-slam-object-oriented-slam-with-deep-shape","title":"DSP-SLAM: Object Oriented SLAM with Deep Shape Priors","date":"2021-08-21","arxiv_id":"2108.09481","repositories_listed":1,"syntology":null},{"url":"/paper/saber-data-driven-motion-planner-for","slug":"saber-data-driven-motion-planner-for","title":"SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots","date":"2021-08-03","arxiv_id":"2108.01262","repositories_listed":1,"syntology":null},{"url":"/paper/beyond-observation-an-approach-for-objectnav","slug":"beyond-observation-an-approach-for-objectnav","title":"BEyond observation: an approach for ObjectNav","date":"2021-06-21","arxiv_id":"2106.11379","repositories_listed":1,"syntology":null},{"url":"/paper/maomaps-a-photo-realistic-benchmark-for-vslam","slug":"maomaps-a-photo-realistic-benchmark-for-vslam","title":"MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment","date":"2021-05-31","arxiv_id":"2105.14994","repositories_listed":1,"syntology":null},{"url":"/paper/real-time-multi-adaptive-resolution-surfel-6d","slug":"real-time-multi-adaptive-resolution-surfel-6d","title":"Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization","date":"2021-05-05","arxiv_id":"2105.02010","repositories_listed":1,"syntology":null},{"url":"/paper/graph-based-thermal-inertial-slam-with","slug":"graph-based-thermal-inertial-slam-with","title":"Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks","date":"2021-04-15","arxiv_id":"2104.07196","repositories_listed":1,"syntology":null},{"url":"/paper/lcdnet-deep-loop-closure-detection-for-lidar","slug":"lcdnet-deep-loop-closure-detection-for-lidar","title":"LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM","date":"2021-03-08","arxiv_id":"2103.05056","repositories_listed":1,"syntology":null},{"url":"/paper/sequential-place-learning-heuristic-free-high","slug":"sequential-place-learning-heuristic-free-high","title":"Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition","date":"2021-03-02","arxiv_id":"2103.02074","repositories_listed":1,"syntology":null},{"url":"/paper/ov-2-slam-a-fully-online-and-versatile-visual","slug":"ov-2-slam-a-fully-online-and-versatile-visual","title":"OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications","date":"2021-02-08","arxiv_id":"2102.04060","repositories_listed":1,"syntology":null},{"url":"/paper/mulls-versatile-lidar-slam-via-multi-metric","slug":"mulls-versatile-lidar-slam-via-multi-metric","title":"MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square","date":"2021-02-07","arxiv_id":"2102.03771","repositories_listed":1,"syntology":null},{"url":"/paper/gem-online-globally-consistent-dense","slug":"gem-online-globally-consistent-dense","title":"GEM: Online Globally consistent dense elevation mapping for unstructured terrain","date":"2020-12-14","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/visual-place-recognition-a-survey-from-deep","slug":"visual-place-recognition-a-survey-from-deep","title":"Visual place recognition: A survey from deep learning perspective","date":"2020-11-28","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/deepseqslam-a-trainable-cnn-rnn-for-joint","slug":"deepseqslam-a-trainable-cnn-rnn-for-joint","title":"DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition","date":"2020-11-17","arxiv_id":"2011.08518","repositories_listed":1,"syntology":null},{"url":"/paper/attention-slam-a-visual-monocular-slam","slug":"attention-slam-a-visual-monocular-slam","title":"Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze","date":"2020-09-15","arxiv_id":"2009.06886","repositories_listed":1,"syntology":null},{"url":"/paper/deep-depth-estimation-from-visual-inertial","slug":"deep-depth-estimation-from-visual-inertial","title":"Deep Depth Estimation from Visual-Inertial SLAM","date":"2020-07-31","arxiv_id":"2008.00092","repositories_listed":1,"syntology":null},{"url":"/paper/deep-keypoint-based-camera-pose-estimation","slug":"deep-keypoint-based-camera-pose-estimation","title":"Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints","date":"2020-07-29","arxiv_id":"2007.15122","repositories_listed":1,"syntology":null},{"url":"/paper/online-visual-place-recognition-via-saliency","slug":"online-visual-place-recognition-via-saliency","title":"Online Visual Place Recognition via Saliency Re-identification","date":"2020-07-29","arxiv_id":"2007.14549","repositories_listed":1,"syntology":null},{"url":"/paper/quantitative-evaluation-of-endoscopic-slam","slug":"quantitative-evaluation-of-endoscopic-slam","title":"EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner","date":"2020-06-30","arxiv_id":"2006.16670","repositories_listed":1,"syntology":null},{"url":"/paper/cpl-slam-efficient-and-certifiably-correct","slug":"cpl-slam-efficient-and-certifiably-correct","title":"CPL-SLAM: Efficient and Certifiably Correct Planar Graph-Based SLAM Using the Complex Number Representation","date":"2020-06-25","arxiv_id":"2007.06708","repositories_listed":1,"syntology":null},{"url":"/paper/gmmloc-structure-consistent-visual","slug":"gmmloc-structure-consistent-visual","title":"GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models","date":"2020-06-24","arxiv_id":"2006.13670","repositories_listed":1,"syntology":null},{"url":"/paper/a-survey-on-deep-learning-for-localization","slug":"a-survey-on-deep-learning-for-localization","title":"A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence","date":"2020-06-22","arxiv_id":"2006.12567","repositories_listed":1,"syntology":null},{"url":"/paper/persistent-map-saving-for-visual-localization","slug":"persistent-map-saving-for-visual-localization","title":"Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension","date":"2020-05-15","arxiv_id":"2005.07429","repositories_listed":1,"syntology":null},{"url":"/paper/pseudo-rgb-d-for-self-improving-monocular","slug":"pseudo-rgb-d-for-self-improving-monocular","title":"Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction","date":"2020-04-22","arxiv_id":"2004.10681","repositories_listed":1,"syntology":null},{"url":"/paper/robust-line-segments-matching-via-graph","slug":"robust-line-segments-matching-via-graph","title":"Robust Line Segments Matching via Graph Convolution Networks","date":"2020-04-10","arxiv_id":"2004.04993","repositories_listed":1,"syntology":null},{"url":"/paper/intensity-scan-context-coding-intensity-and","slug":"intensity-scan-context-coding-intensity-and","title":"Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection","date":"2020-03-12","arxiv_id":"2003.05656","repositories_listed":1,"syntology":null},{"url":"/paper/keyfilter-aware-real-time-uav-object-tracking","slug":"keyfilter-aware-real-time-uav-object-tracking","title":"Keyfilter-Aware Real-Time UAV Object Tracking","date":"2020-03-11","arxiv_id":"2003.05218","repositories_listed":1,"syntology":null},{"url":"/paper/kernel-learning-for-visual-perception","slug":"kernel-learning-for-visual-perception","title":"Kernel learning for visual perception","date":"2019-12-06","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/fast-and-incremental-loop-closure-detection","slug":"fast-and-incremental-loop-closure-detection","title":"Fast and Incremental Loop Closure Detection Using Proximity Graphs","date":"2019-11-25","arxiv_id":"1911.10752","repositories_listed":1,"syntology":null},{"url":"/paper/tigris-architecture-and-algorithms-for-3d","slug":"tigris-architecture-and-algorithms-for-3d","title":"Tigris: Architecture and Algorithms for 3D Perception in Point Clouds","date":"2019-11-16","arxiv_id":"1911.07841","repositories_listed":1,"syntology":null},{"url":"/paper/gradslam-dense-slam-meets-automatic","slug":"gradslam-dense-slam-meets-automatic","title":"gradSLAM: Automagically differentiable SLAM","date":"2019-10-23","arxiv_id":"1910.10672","repositories_listed":1,"syntology":{"n":15,"n_ran":14,"n_constructed":0,"n_ran_checked":14,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":14,"n_pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/gradslam-dense-slam-meets-automatic#ran","syntology_url":"https://syntology.ai/paper/1910.10672","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1910.10672"}},"official":{"repos":["gradslam/gradslam"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/hierarchical-encoding-of-sequential-data-with","slug":"hierarchical-encoding-of-sequential-data-with","title":"Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost","date":"2019-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/minisam-a-flexible-factor-graph-non-linear","slug":"minisam-a-flexible-factor-graph-non-linear","title":"miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework","date":"2019-09-03","arxiv_id":"1909.00903","repositories_listed":1,"syntology":null},{"url":"/paper/not-only-look-but-observe-variational","slug":"not-only-look-but-observe-variational","title":"Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM","date":"2019-07-23","arxiv_id":"1907.09760","repositories_listed":1,"syntology":null},{"url":"/paper/real-time-vision-based-depth-reconstruction","slug":"real-time-vision-based-depth-reconstruction","title":"Real-time Vision-based Depth Reconstruction with NVidia Jetson","date":"2019-07-16","arxiv_id":"1907.07210","repositories_listed":1,"syntology":null},{"url":"/paper/direct-sparse-mapping","slug":"direct-sparse-mapping","title":"Direct Sparse Mapping","date":"2019-04-13","arxiv_id":"1904.06577","repositories_listed":1,"syntology":null},{"url":"/paper/continuous-direct-sparse-visual-odometry-from","slug":"continuous-direct-sparse-visual-odometry-from","title":"Continuous Direct Sparse Visual Odometry from RGB-D Images","date":"2019-04-03","arxiv_id":"1904.02266","repositories_listed":1,"syntology":null},{"url":"/paper/beyond-photometric-loss-for-self-supervised","slug":"beyond-photometric-loss-for-self-supervised","title":"Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation","date":"2019-02-25","arxiv_id":"1902.09103","repositories_listed":1,"syntology":null},{"url":"/paper/gslam-a-general-slam-framework-and-benchmark","slug":"gslam-a-general-slam-framework-and-benchmark","title":"GSLAM: A General SLAM Framework and Benchmark","date":"2019-02-21","arxiv_id":"1902.07995","repositories_listed":1,"syntology":null},{"url":"/paper/ucoslam-simultaneous-localization-and-mapping","slug":"ucoslam-simultaneous-localization-and-mapping","title":"UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers","date":"2019-02-11","arxiv_id":"1902.03729","repositories_listed":1,"syntology":null},{"url":"/paper/visual-slam-with-network-uncertainty-informed","slug":"visual-slam-with-network-uncertainty-informed","title":"Network Uncertainty Informed Semantic Feature Selection for Visual SLAM","date":"2018-11-29","arxiv_id":"1811.11946","repositories_listed":1,"syntology":null},{"url":"/paper/localization-and-perception-for-control-and","slug":"localization-and-perception-for-control-and","title":"Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment","date":"2018-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/loosely-coupled-semi-direct-monocular-slam","slug":"loosely-coupled-semi-direct-monocular-slam","title":"Loosely-Coupled Semi-Direct Monocular SLAM","date":"2018-07-26","arxiv_id":"1807.10073","repositories_listed":1,"syntology":null},{"url":"/paper/visual-global-localization-with-a-hybrid-wnn","slug":"visual-global-localization-with-a-hybrid-wnn","title":"Visual Global Localization with a Hybrid WNN-CNN Approach","date":"2018-05-08","arxiv_id":"1805.03183","repositories_listed":1,"syntology":null},{"url":"/paper/maskfusion-real-time-recognition-tracking-and","slug":"maskfusion-real-time-recognition-tracking-and","title":"MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects","date":"2018-04-24","arxiv_id":"1804.09194","repositories_listed":1,"syntology":null},{"url":"/paper/backtracking-regression-forests-for-accurate","slug":"backtracking-regression-forests-for-accurate","title":"Backtracking Regression Forests for Accurate Camera Relocalization","date":"2017-10-22","arxiv_id":"1710.07965","repositories_listed":1,"syntology":null},{"url":"/paper/winqi-a-system-for-6d-localization-and-slam","slug":"winqi-a-system-for-6d-localization-and-slam","title":"CoBe -- Coded Beacons for Localization, Object Tracking, and SLAM Augmentation","date":"2017-08-18","arxiv_id":"1708.05625","repositories_listed":1,"syntology":null},{"url":"/paper/incremental-3d-line-segment-extraction-from","slug":"incremental-3d-line-segment-extraction-from","title":"Incremental 3D Line Segment Extraction from Semi-dense SLAM","date":"2017-08-10","arxiv_id":"1708.03275","repositories_listed":1,"syntology":null},{"url":"/paper/infinitam-v3-a-framework-for-large-scale-3d","slug":"infinitam-v3-a-framework-for-large-scale-3d","title":"InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure","date":"2017-08-02","arxiv_id":"1708.00783","repositories_listed":1,"syntology":null},{"url":"/paper/neural-slam-learning-to-explore-with-external","slug":"neural-slam-learning-to-explore-with-external","title":"Neural SLAM: Learning to Explore with External Memory","date":"2017-06-29","arxiv_id":"1706.09520","repositories_listed":1,"syntology":null},{"url":"/paper/co-fusion-real-time-segmentation-tracking-and","slug":"co-fusion-real-time-segmentation-tracking-and","title":"Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects","date":"2017-06-20","arxiv_id":"1706.06629","repositories_listed":1,"syntology":null},{"url":"/paper/loam-lidar-odometry-and-mapping-in-real-time","slug":"loam-lidar-odometry-and-mapping-in-real-time","title":"LOAM: Lidar Odometry and Mapping in Real-Time","date":"2014-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":null,"slug":"simultaneous-localization-and-mapping-using","title":"Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR","date":"2025-07-07","arxiv_id":"2507.04662","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-multipath-based-slam-for-distributed","title":"Adaptive Multipath-Based SLAM for Distributed MIMO Systems","date":"2025-06-26","arxiv_id":"2506.21798","repositories_listed":0,"syntology":null},{"url":null,"slug":"endoflow-slam-real-time-endoscopic-slam-with","title":"EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting","date":"2025-06-26","arxiv_id":"2506.21420","repositories_listed":0,"syntology":null},{"url":null,"slug":"posterior-cramer-rao-bounds-on-localization","title":"Posterior Cramér-Rao Bounds on Localization and Mapping Errors in Distributed MIMO SLAM","date":"2025-06-24","arxiv_id":"2506.19957","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-vidar-device-with-visual-inertial","title":"A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method","date":"2025-06-16","arxiv_id":"2506.13100","repositories_listed":0,"syntology":null},{"url":null,"slug":"lrslam-low-rank-representation-of-signed","title":"LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System","date":"2025-06-12","arxiv_id":"2506.10567","repositories_listed":0,"syntology":null},{"url":null,"slug":"faster-than-fast-accelerating-oriented-fast","title":"Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs","date":"2025-06-08","arxiv_id":"2506.07164","repositories_listed":0,"syntology":null},{"url":null,"slug":"dy3dgs-slam-monocular-3d-gaussian-splatting","title":"Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments","date":"2025-06-06","arxiv_id":"2506.05965","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-reforms-image-matching-a-survey","title":"Deep Learning Reforms Image Matching: A Survey and Outlook","date":"2025-06-05","arxiv_id":"2506.04619","repositories_listed":0,"syntology":null},{"url":null,"slug":"cuvslam-cuda-accelerated-visual-odometry","title":"cuVSLAM: CUDA accelerated visual odometry and mapping","date":"2025-06-04","arxiv_id":"2506.04359","repositories_listed":0,"syntology":null},{"url":null,"slug":"leg-slam-real-time-language-enhanced-gaussian","title":"LEG-SLAM: Real-Time Language-Enhanced Gaussian Splatting for SLAM","date":"2025-06-03","arxiv_id":"2506.03073","repositories_listed":0,"syntology":null},{"url":null,"slug":"vtgaussian-slam-rgbd-slam-for-large-scale","title":"VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians","date":"2025-06-03","arxiv_id":"2506.02741","repositories_listed":0,"syntology":null},{"url":null,"slug":"black-box-adversarial-attacks-on-cnn-based","title":"Black-box Adversarial Attacks on CNN-based SLAM Algorithms","date":"2025-05-30","arxiv_id":"2505.24654","repositories_listed":0,"syntology":null},{"url":null,"slug":"up-slam-adaptively-structured-gaussian-slam","title":"UP-SLAM: Adaptively Structured Gaussian SLAM with Uncertainty Prediction in Dynamic Environments","date":"2025-05-28","arxiv_id":"2505.22335","repositories_listed":0,"syntology":null}],"record_sha256":"9b2a65c3cd358173f35eafe7a1a8226a6860b569f7708931fe3ecf0604aa2392","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}