{"url":"/task/radar-odometry","name":"Radar odometry","slug":"radar-odometry","description_markdown":"Radar odometry is the task of estimating the trajectory of the radar sensor, e.g. as presented in https://arxiv.org/abs/2105.01457.\r\nA well established performance metric was presented by Geiger (2012)  - \"Are we ready for autonomous driving? the KITTI vision benchmark suite\"","categories":[{"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":9,"papers_with_code":5,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"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":3,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/radar-odometry-on-oxford-radar-robotcar","slug":"radar-odometry-on-oxford-radar-robotcar","dataset":"Oxford Radar RobotCar Dataset","dataset_url":"/dataset/oxford-radar-robotcar-dataset","rows_in_archive":1,"metrics":["translation error [%]"],"first_row_in_archive_order":{"model":"CFEAR-3-s4","paper_title":"CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry","paper_url":"/paper/cfear-radarodometry-conservative-filtering-1","paper_date":"2021-09-16","arxiv_id":"2105.01457","code_links":[{"title":"dan11003/CFEAR_Radarodometry_code_public","url":"https://github.com/dan11003/CFEAR_Radarodometry_code_public"},{"title":"dan11003/CFEAR_Radarodometry","url":"https://github.com/dan11003/CFEAR_Radarodometry"}],"syntology":null}}],"datasets":[{"url":"/dataset/oxford-radar-robotcar-dataset","name":"Oxford Radar RobotCar Dataset","full_name":"","num_papers_in_archive":28},{"url":"/dataset/k-radar","name":"K-Radar","full_name":"KAIST-Radar","num_papers_in_archive":23},{"url":"/dataset/oru-diverse-radar-dataset","name":"ORU Diverse radar dataset","full_name":"","num_papers_in_archive":3}],"subtasks":[],"parent_tasks":[],"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":5,"of":5,"tagged_in_all":9,"items":[{"url":"/paper/cfear-radarodometry-conservative-filtering-1","title":"CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry","date":"2021-09-16","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/under-the-radar-learning-to-predict-robust","title":"Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar","date":"2020-01-29","arxiv_id":"2001.10789","repositories_listed":2,"syntology":null},{"url":"/paper/dro-doppler-aware-direct-radar-odometry","title":"DRO: Doppler-Aware Direct Radar Odometry","date":"2025-04-29","arxiv_id":"2504.20339","repositories_listed":1,"syntology":null},{"url":"/paper/successive-pose-estimation-and-beam-tracking","title":"Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems","date":"2023-07-30","arxiv_id":"2307.16117","repositories_listed":1,"syntology":null},{"url":"/paper/mvp-unified-motion-and-visual-self-supervised","title":"MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation","date":"2020-03-02","arxiv_id":"2003.00667","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"}}