{"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/visual-odometry/papers/2","list_of":"/task/visual-odometry","task":"Visual Odometry","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":5,"rows_per_page":100,"rows":[101,200],"of":408,"counts":{"archive_papers_tagged":408,"with_a_code_link":124,"where_syntology_ran_a_sample":14,"not_listed_spam_title":0,"listed":408,"listed_where_code_ran":14,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":10,"every_run_a_failure_of_syntologys_instrument":4,"listed_with_a_run_with_no_instrument_failure":10,"listed_every_run_a_failure_of_syntologys_instrument":4,"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/visual-odometry","prev":"/task/visual-odometry","next":"/task/visual-odometry/papers/3","papers":[{"url":"/paper/adaptive-continuous-visual-odometry-from-rgb","slug":"adaptive-continuous-visual-odometry-from-rgb","title":"Adaptive Continuous Visual Odometry from RGB-D Images","date":"2019-10-01","arxiv_id":"1910.00713","repositories_listed":1,"syntology":null},{"url":"/paper/ds-pass-detail-sensitive-panoramic-annular","slug":"ds-pass-detail-sensitive-panoramic-annular","title":"DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing","date":"2019-09-17","arxiv_id":"1909.07721","repositories_listed":1,"syntology":null},{"url":"/paper/unos-unified-unsupervised-optical-flow-and","slug":"unos-unified-unsupervised-optical-flow-and","title":"UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/extending-monocular-visual-odometry-to-stereo","slug":"extending-monocular-visual-odometry-to-stereo","title":"Extending Monocular Visual Odometry to Stereo Camera Systems by Scale Optimization","date":"2019-05-29","arxiv_id":"1905.12723","repositories_listed":1,"syntology":null},{"url":"/paper/recurrent-neural-network-for-un-supervised","slug":"recurrent-neural-network-for-un-supervised","title":"Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth","date":"2019-04-15","arxiv_id":"1904.07087","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/mavnet-an-effective-semantic-segmentation","slug":"mavnet-an-effective-semantic-segmentation","title":"MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks","date":"2019-04-03","arxiv_id":"1904.01795","repositories_listed":1,"syntology":null},{"url":"/paper/sparse-representations-for-object-and-ego","slug":"sparse-representations-for-object-and-ego","title":"Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes","date":"2019-03-09","arxiv_id":"1903.03731","repositories_listed":1,"syntology":null},{"url":"/paper/rovo-robust-omnidirectional-visual-odometry","slug":"rovo-robust-omnidirectional-visual-odometry","title":"ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systems","date":"2019-02-28","arxiv_id":"1902.11154","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/a-generative-map-for-image-based-camera","slug":"a-generative-map-for-image-based-camera","title":"A Generative Map for Image-based Camera Localization","date":"2019-02-18","arxiv_id":"1902.11124","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/sips-unsupervised-succinct-interest-points","slug":"sips-unsupervised-succinct-interest-points","title":"SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning","date":"2018-05-03","arxiv_id":"1805.01358","repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-learning-of-monocular-depth-1","slug":"unsupervised-learning-of-monocular-depth-1","title":"Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction","date":"2018-03-11","arxiv_id":"1803.03893","repositories_listed":1,"syntology":null},{"url":"/paper/deep-auxiliary-learning-for-visual","slug":"deep-auxiliary-learning-for-visual","title":"Deep Auxiliary Learning for Visual Localization and Odometry","date":"2018-03-09","arxiv_id":"1803.03642","repositories_listed":1,"syntology":null},{"url":"/paper/salientdso-bringing-attention-to-direct","slug":"salientdso-bringing-attention-to-direct","title":"SalientDSO: Bringing Attention to Direct Sparse Odometry","date":"2018-02-28","arxiv_id":"1803.00127","repositories_listed":1,"syntology":null},{"url":"/paper/learning-depth-from-monocular-videos-using","slug":"learning-depth-from-monocular-videos-using","title":"Learning Depth from Monocular Videos using Direct Methods","date":"2017-12-01","arxiv_id":"1712.00175","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/learning-depth-from-monocular-videos-using#ran","syntology_url":"https://syntology.ai/paper/1712.00175","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1712.00175"}},"official":{"repos":["MightyChaos/LKVOLearner"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/dpc-net-deep-pose-correction-for-visual","slug":"dpc-net-deep-pose-correction-for-visual","title":"DPC-Net: Deep Pose Correction for Visual Localization","date":"2017-09-10","arxiv_id":"1709.03128","repositories_listed":1,"syntology":null},{"url":"/paper/how-to-train-a-cat-learning-canonical","slug":"how-to-train-a-cat-learning-canonical","title":"How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change","date":"2017-09-09","arxiv_id":"1709.03009","repositories_listed":1,"syntology":null},{"url":"/paper/probabilistic-rgb-d-odometry-based-on-points","slug":"probabilistic-rgb-d-odometry-based-on-points","title":"Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty","date":"2017-06-13","arxiv_id":"1706.04034","repositories_listed":1,"syntology":null},{"url":"/paper/real-time-panoramic-tracking-for-event","slug":"real-time-panoramic-tracking-for-event","title":"Real-Time Panoramic Tracking for Event Cameras","date":"2017-03-15","arxiv_id":"1703.05161","repositories_listed":1,"syntology":null},{"url":"/paper/gvnn-neural-network-library-for-geometric","slug":"gvnn-neural-network-library-for-geometric","title":"gvnn: Neural Network Library for Geometric Computer Vision","date":"2016-07-25","arxiv_id":"1607.07405","repositories_listed":1,"syntology":null},{"url":"/paper/backprop-kf-learning-discriminative","slug":"backprop-kf-learning-discriminative","title":"Backprop KF: Learning Discriminative Deterministic State Estimators","date":"2016-05-23","arxiv_id":"1605.07148","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/backprop-kf-learning-discriminative#ran","syntology_url":"https://syntology.ai/paper/1605.07148","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1605.07148"}},"official":null}},{"url":"/paper/direct-visual-odometry-using-bit-planes","slug":"direct-visual-odometry-using-bit-planes","title":"Direct Visual Odometry using Bit-Planes","date":"2016-04-04","arxiv_id":"1604.00990","repositories_listed":1,"syntology":null},{"url":null,"slug":"dino-vo-a-feature-based-visual-odometry","title":"DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model","date":"2025-07-17","arxiv_id":"2507.13145","repositories_listed":0,"syntology":null},{"url":null,"slug":"ufm-a-simple-path-towards-unified-dense","title":"UFM: A Simple Path towards Unified Dense Correspondence with Flow","date":"2025-06-10","arxiv_id":"2506.09278","repositories_listed":0,"syntology":null},{"url":null,"slug":"zerovo-visual-odometry-with-minimal-1","title":"ZeroVO: Visual Odometry with Minimal Assumptions","date":"2025-06-09","arxiv_id":"2506.08005","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":"estonefish-scenes-a-synthetically-generated","title":"eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks","date":"2025-05-19","arxiv_id":"2505.13309","repositories_listed":0,"syntology":null},{"url":null,"slug":"structureless-vio","title":"Structureless VIO","date":"2025-05-18","arxiv_id":"2505.12337","repositories_listed":0,"syntology":null},{"url":null,"slug":"safenav-safe-path-navigation-using-landmark","title":"SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment","date":"2025-05-04","arxiv_id":"2505.01956","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-visual-slam-for-in-the-wild","title":"Large-scale visual SLAM for in-the-wild videos","date":"2025-04-29","arxiv_id":"2504.20496","repositories_listed":0,"syntology":null},{"url":null,"slug":"monogs-fast-and-accurate-monocular-rgb","title":"MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM","date":"2025-04-03","arxiv_id":"2504.02437","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-gnss-information-with-lidar","title":"Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization","date":"2025-03-29","arxiv_id":"2503.23199","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-mobile-sensing-with-event-cameras-on","title":"Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey","date":"2025-03-29","arxiv_id":"2503.22943","repositories_listed":0,"syntology":null},{"url":null,"slug":"scene-agnostic-pose-regression-for-visual","title":"Scene-agnostic Pose Regression for Visual Localization","date":"2025-03-25","arxiv_id":"2503.19543","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-constrained-monocular-scale","title":"Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes","date":"2025-03-06","arxiv_id":"2503.04235","repositories_listed":0,"syntology":null},{"url":null,"slug":"marslgpr-mars-rover-localization-with-ground","title":"MarsLGPR: Mars Rover Localization with Ground Penetrating Radar","date":"2025-03-06","arxiv_id":"2503.04944","repositories_listed":0,"syntology":null},{"url":null,"slug":"slam-in-the-dark-self-supervised-learning-of","title":"SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images","date":"2025-02-26","arxiv_id":"2502.18932","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-based-geo-localization-of-future-mars","title":"Vision-based Geo-Localization of Future Mars Rotorcraft in Challenging Illumination Conditions","date":"2025-02-13","arxiv_id":"2502.09795","repositories_listed":0,"syntology":null},{"url":null,"slug":"mambavo-deep-visual-odometry-based-on","title":"MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing","date":"2024-12-28","arxiv_id":"2412.20082","repositories_listed":0,"syntology":null},{"url":null,"slug":"romeo-robust-metric-visual-odometry","title":"RoMeO: Robust Metric Visual Odometry","date":"2024-12-16","arxiv_id":"2412.11530","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-indoor-dso-based-ceiling-vision-odometry","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","date":"2024-12-04","arxiv_id":"2412.02950","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-monocular-visual-odometry-using","title":"Robust Monocular Visual Odometry using Curriculum Learning","date":"2024-11-20","arxiv_id":"2411.13438","repositories_listed":0,"syntology":null},{"url":null,"slug":"mpvo-motion-prior-based-visual-odometry-for","title":"MPVO: Motion-Prior based Visual Odometry for PointGoal Navigation","date":"2024-11-07","arxiv_id":"2411.04796","repositories_listed":0,"syntology":null},{"url":null,"slug":"livissfm-accurate-and-robust-structure-from","title":"LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues","date":"2024-10-29","arxiv_id":"2410.22213","repositories_listed":0,"syntology":null},{"url":null,"slug":"orb-sfmlearner-orb-guided-self-supervised","title":"ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation","date":"2024-09-18","arxiv_id":"2409.11692","repositories_listed":0,"syntology":null},{"url":null,"slug":"mac-vo-metrics-aware-covariance-for-learning","title":"MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry","date":"2024-09-14","arxiv_id":"2409.09479","repositories_listed":0,"syntology":null},{"url":null,"slug":"creating-a-segmented-pointcloud-of-grapevines","title":"Creating a Segmented Pointcloud of Grapevines by Combining Multiple Viewpoints Through Visual Odometry","date":"2024-08-29","arxiv_id":"2408.16472","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-photon-3d-imaging-with-equi-depth","title":"Single-Photon 3D Imaging with Equi-Depth Photon Histograms","date":"2024-08-28","arxiv_id":"2408.16150","repositories_listed":0,"syntology":null},{"url":null,"slug":"codedvo-coded-visual-odometry","title":"CodedVO: Coded Visual Odometry","date":"2024-07-25","arxiv_id":"2407.18240","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-pipe-video-temporal-defect","title":"Semi-Supervised Pipe Video Temporal Defect Interval Localization","date":"2024-07-21","arxiv_id":"2407.15170","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-that-rain-understanding-effects-on-visual","title":"Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge","date":"2024-07-17","arxiv_id":"2407.12663","repositories_listed":0,"syntology":null},{"url":null,"slug":"imperative-learning-a-self-supervised-neural","title":"Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy","date":"2024-06-23","arxiv_id":"2406.16087","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-pretraining-and-finetuning","title":"Self-supervised Pretraining and Finetuning for Monocular Depth and Visual Odometry","date":"2024-06-16","arxiv_id":"2406.11019","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-empirical-impact-of-forgetting-and","title":"The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry","date":"2024-06-03","arxiv_id":"2406.01797","repositories_listed":0,"syntology":null},{"url":null,"slug":"mgs-slam-monocular-sparse-tracking-and","title":"MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization","date":"2024-05-10","arxiv_id":"2405.06241","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-attention-based-deep-learning-architecture","title":"An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation","date":"2024-04-27","arxiv_id":"2404.17745","repositories_listed":0,"syntology":null},{"url":null,"slug":"spot-point-cloud-based-stereo-visual-place","title":"SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints","date":"2024-04-18","arxiv_id":"2404.12339","repositories_listed":0,"syntology":null},{"url":null,"slug":"salient-sparse-visual-odometry-with-pose-only","title":"Salient Sparse Visual Odometry With Pose-Only Supervision","date":"2024-04-06","arxiv_id":"2404.04677","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-analysis-of-visual-odometry-in","title":"A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments","date":"2024-03-25","arxiv_id":"2403.17084","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-accurate-and-real-time-relative-pose","title":"An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation","date":"2024-03-18","arxiv_id":"2403.11639","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-polar-traverse-dataset-a-dataset-of","title":"The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions","date":"2024-03-18","arxiv_id":"2403.12194","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-domain-adaptation-for-endoscopic","title":"Efficient Domain Adaptation for Endoscopic Visual Odometry","date":"2024-03-16","arxiv_id":"2403.10860","repositories_listed":0,"syntology":null},{"url":null,"slug":"secure-navigation-using-landmark-based","title":"Secure Navigation using Landmark-based Localization in a GPS-denied Environment","date":"2024-02-22","arxiv_id":"2402.14280","repositories_listed":0,"syntology":null},{"url":null,"slug":"landmark-based-localization-using-stereo","title":"Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment","date":"2024-02-19","arxiv_id":"2402.12551","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-consistency-loss-for-monocular-visual","title":"Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning","date":"2024-01-19","arxiv_id":"2401.10857","repositories_listed":0,"syntology":null},{"url":null,"slug":"nerf-vo-real-time-sparse-visual-odometry-with","title":"NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields","date":"2023-12-20","arxiv_id":"2312.13471","repositories_listed":0,"syntology":null},{"url":null,"slug":"ternary-type-opacity-and-hybrid-odometry-for","title":"Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM","date":"2023-12-20","arxiv_id":"2312.13332","repositories_listed":0,"syntology":null},{"url":null,"slug":"trajectory-approximation-of-video-based-on","title":"Trajectory Approximation of Video Based on Phase Correlation for Forward Facing Camera","date":"2023-12-20","arxiv_id":"2312.12680","repositories_listed":0,"syntology":null},{"url":null,"slug":"superprimitive-scene-reconstruction-at-a","title":"SuperPrimitive: Scene Reconstruction at a Primitive Level","date":"2023-12-10","arxiv_id":"2312.05889","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-visual-odometry-using-genetic-algorithm","title":"Dense Visual Odometry Using Genetic Algorithm","date":"2023-11-10","arxiv_id":"2311.06149","repositories_listed":0,"syntology":null},{"url":null,"slug":"inertial-guided-uncertainty-estimation-of","title":"Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM","date":"2023-11-07","arxiv_id":"2311.03722","repositories_listed":0,"syntology":null},{"url":null,"slug":"resilient-simultaneous-localization-and","title":"Resilient Simultaneous Localization and Mapping Fusing Ultra Wide Band Range Measurements and Visual Odometry","date":"2023-11-04","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"jointly-optimized-global-local-visual","title":"Jointly Optimized Global-Local Visual Localization of UAVs","date":"2023-10-12","arxiv_id":"2310.08082","repositories_listed":0,"syntology":null},{"url":null,"slug":"xvo-generalized-visual-odometry-via-cross-1","title":"XVO: Generalized Visual Odometry via Cross-Modal Self-Training","date":"2023-09-28","arxiv_id":"2309.16772","repositories_listed":0,"syntology":null},{"url":null,"slug":"obvi-slam-long-term-object-visual-slam","title":"ObVi-SLAM: Long-Term Object-Visual SLAM","date":"2023-09-26","arxiv_id":"2309.15268","repositories_listed":0,"syntology":null},{"url":null,"slug":"conformalized-multimodal-uncertainty","title":"Conformalized Multimodal Uncertainty Regression and Reasoning","date":"2023-09-20","arxiv_id":"2309.11018","repositories_listed":0,"syntology":null},{"url":null,"slug":"dive-deeper-into-rectifying-homography-for","title":"Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration","date":"2023-09-19","arxiv_id":"2309.10314","repositories_listed":0,"syntology":null},{"url":null,"slug":"robot-localization-and-mapping-final-report","title":"Robot Localization and Mapping Final Report -- Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry","date":"2023-09-08","arxiv_id":"2309.04147","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-visual-localization-and","title":"Deep Learning for Visual Localization and Mapping: A Survey","date":"2023-08-27","arxiv_id":"2308.14039","repositories_listed":0,"syntology":null},{"url":null,"slug":"4drvo-net-deep-4d-radar-visual-odometry-using","title":"4DRVO-Net: Deep 4D Radar-Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion","date":"2023-08-12","arxiv_id":"2308.06573","repositories_listed":0,"syntology":null},{"url":null,"slug":"mono-hydra-real-time-3d-scene-graph","title":"Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU","date":"2023-08-10","arxiv_id":"2308.05515","repositories_listed":0,"syntology":null},{"url":null,"slug":"stereo-visual-odometry-with-deep-learning","title":"Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network","date":"2023-08-02","arxiv_id":"2308.01125","repositories_listed":0,"syntology":null},{"url":null,"slug":"tightly-coupled-lidar-visual-slam-based-on","title":"Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents","date":"2023-07-15","arxiv_id":"2307.07763","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-based-visual-odometry-with-full","title":"Event-based Stereo Visual Odometry with Native Temporal Resolution via Continuous-time Gaussian Process Regression","date":"2023-06-01","arxiv_id":"2306.01188","repositories_listed":0,"syntology":null},{"url":null,"slug":"ospc-online-sequential-photometric","title":"OSPC: Online Sequential Photometric Calibration","date":"2023-05-28","arxiv_id":"2305.17673","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-camera-based-visual-odometry-for","title":"Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface","date":"2023-05-15","arxiv_id":"2305.08962","repositories_listed":0,"syntology":null},{"url":null,"slug":"fsnet-redesign-self-supervised-monodepth-for","title":"FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving","date":"2023-04-21","arxiv_id":"2304.10719","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-lidar-odometry-and-mapping-with","title":"Visual-LiDAR Odometry and Mapping with Monocular Scale Correction and Visual Bootstrapping","date":"2023-04-18","arxiv_id":"2304.08978","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-depth-covariance-function","title":"Learning a Depth Covariance Function","date":"2023-03-21","arxiv_id":"2303.12157","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-learning-of-wheel-odometry-correction","title":"Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network","date":"2023-03-21","arxiv_id":"2303.11725","repositories_listed":0,"syntology":null},{"url":null,"slug":"discovering-multiple-algorithm-configurations","title":"Discovering Multiple Algorithm Configurations","date":"2023-03-13","arxiv_id":"2303.07434","repositories_listed":0,"syntology":null},{"url":null,"slug":"virtual-inverse-perspective-mapping-for","title":"Virtual Inverse Perspective Mapping for Simultaneous Pose and Motion Estimation","date":"2023-03-09","arxiv_id":"2303.05192","repositories_listed":0,"syntology":null},{"url":null,"slug":"lightweight-uncertainty-aware-conformalized","title":"Lightweight, Uncertainty-Aware Conformalized Visual Odometry","date":"2023-03-03","arxiv_id":"2303.02207","repositories_listed":0,"syntology":null},{"url":null,"slug":"lunarnav-crater-based-localization-for-long","title":"LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation","date":"2023-01-03","arxiv_id":"2301.01350","repositories_listed":0,"syntology":null},{"url":null,"slug":"emr-msf-self-supervised-recurrent-monocular","title":"EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"silk-simple-learned-keypoints-1","title":"SiLK: Simple Learned Keypoints","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"4seasons-benchmarking-visual-slam-and-long","title":"4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions","date":"2022-12-31","arxiv_id":"2301.01147","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-combined-approach-toward-consistent","title":"A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion","date":"2022-12-25","arxiv_id":"2212.14772","repositories_listed":0,"syntology":null}],"record_sha256":"2997b9f8ff1e533a273d1537e54192efed06cac60134842ac1f8fc493f099924","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}