{"url":"/task/monocular-visual-odometry","name":"Monocular Visual Odometry","slug":"monocular-visual-odometry","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Robots","url":"/area/robots"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":71,"papers_with_code":21,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":8,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[{"url":"/dataset/tum-monovo","name":"TUM monoVO","full_name":"TUM monoVO","num_papers_in_archive":11},{"url":"/dataset/endoslam","name":"EndoSLAM","full_name":"Endoscopic SLAM dataset","num_papers_in_archive":4},{"url":"/dataset/vbr","name":"VBR","full_name":"VBR: A Vision Benchmark in Rome","num_papers_in_archive":3},{"url":"/dataset/drunkard-s-dataset","name":"Drunkard's Dataset","full_name":"","num_papers_in_archive":2},{"url":"/dataset/slam2ref","name":"SLAM2REF","full_name":"ConSLAM BIM and GT Poses","num_papers_in_archive":2},{"url":"/dataset/consinv-dataset","name":"ConsInv Dataset","full_name":"","num_papers_in_archive":1},{"url":"/dataset/conslam","name":"ConSLAM","full_name":"Construction Dataset for SLAM","num_papers_in_archive":1},{"url":"/dataset/bike-and-car-odometer-dataset-speedometer-ocr","name":"Bike and Car Odometer Dataset ! Speedometer OCR","full_name":"datacluster.ai","num_papers_in_archive":0}],"subtasks":[],"parent_tasks":[{"url":"/task/visual-odometry","name":"Visual Odometry"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":21,"of":21,"tagged_in_all":71,"items":[{"url":"/paper/deepvo-towards-end-to-end-visual-odometry","title":"DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks","date":"2017-09-25","arxiv_id":"1709.08429","repositories_listed":5,"syntology":null},{"url":"/paper/unsupervised-scale-consistent-depth-learning","title":"Unsupervised Scale-consistent Depth Learning from Video","date":"2021-05-25","arxiv_id":"2105.11610","repositories_listed":2,"syntology":null},{"url":"/paper/df-vo-what-should-be-learnt-for-visual","title":"DF-VO: What Should Be Learnt for Visual Odometry?","date":"2021-03-01","arxiv_id":"2103.00933","repositories_listed":2,"syntology":null},{"url":"/paper/190909803","title":"Visual Odometry Revisited: What Should Be Learnt?","date":"2019-09-21","arxiv_id":"1909.09803","repositories_listed":2,"syntology":null},{"url":"/paper/an-online-adaptation-method-for-robust-depth","title":"An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World","date":"2025-04-16","arxiv_id":"2504.11698","repositories_listed":1,"syntology":null},{"url":"/paper/attenuation-aware-weighted-optical-flow-with","title":"Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrain","date":"2024-07-18","arxiv_id":"2407.13159","repositories_listed":1,"syntology":null},{"url":"/paper/self-supervised-geometry-guided","title":"Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry","date":"2024-06-03","arxiv_id":"2406.00929","repositories_listed":1,"syntology":null},{"url":"/paper/deep-event-visual-odometry","title":"Deep Event Visual Odometry","date":"2023-12-15","arxiv_id":"2312.09800","repositories_listed":1,"syntology":null},{"url":"/paper/monocular-visual-simultaneous-localization","title":"Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines","date":"2023-09-29","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/transformer-based-model-for-monocular-visual","title":"Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach","date":"2023-05-10","arxiv_id":"2305.06121","repositories_listed":1,"syntology":null},{"url":"/paper/dense-prediction-transformer-for-scale","title":"Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry","date":"2022-10-04","arxiv_id":"2210.01723","repositories_listed":1,"syntology":null},{"url":"/paper/deep-patch-visual-odometry-1","title":"Deep Patch Visual Odometry","date":"2022-08-08","arxiv_id":"2208.04726","repositories_listed":1,"syntology":null},{"url":"/paper/tandem-tracking-and-dense-mapping-in-real","title":"TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo","date":"2021-11-14","arxiv_id":"2111.07418","repositories_listed":1,"syntology":null},{"url":"/paper/motionhint-self-supervised-monocular-visual","title":"MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints","date":"2021-09-14","arxiv_id":"2109.06768","repositories_listed":1,"syntology":null},{"url":"/paper/towards-robust-monocular-visual-odometry-for","title":"Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions","date":"2021-09-12","arxiv_id":"2109.05509","repositories_listed":1,"syntology":null},{"url":"/paper/instant-visual-odometry-initialization-for","title":"Instant Visual Odometry Initialization for Mobile AR","date":"2021-07-30","arxiv_id":"2107.14659","repositories_listed":1,"syntology":null},{"url":"/paper/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/wganvo-monocular-visual-odometry-based-on","title":"WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks","date":"2020-07-27","arxiv_id":"2007.13704","repositories_listed":1,"syntology":null},{"url":"/paper/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/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/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}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}