{"url":"/dataset/trajectory-calibration-experiments","name":"Trajectory calibration experiments","full_name":null,"description_markdown":"Data and experiments for motion-based extrinsic calibration using [trajectory_calibration]. The data was generated for evaluating hand-eye calibration algorithms in extrinsic sensor-to-sensor calibration.\r\n\r\nThe repository is organised as follows:\r\n\r\n```\r\n├── calib\r\n│   └── *.csv  # The output calibration values\r\n├── kitti_tests\r\n│   └── ...    # The trajectories generated from KITTI data\r\n├── matlab\r\n│   └── ...    # Matlab files to generate simulation data\r\n├── simulation_tests\r\n│   └── ...    # The generated simulation data\r\n├── *.py       # Scripts to run the calibration experiments\r\n└── README.md\r\n```\r\n\r\nIf you use the data in an academic context, please cite:\r\n\r\n    @article{valimaki2023,\r\n      author = {Välimäki, Tuomas and Garigipati, Bharath and Ghabcheloo, Reza},\r\n      title = {Motion-Based Extrinsic Sensor-to-Sensor Calibration: Effect of Reference Frame Selection for New and Existing Methods},\r\n      journal = {Sensors},\r\n      volume = {23},\r\n      year = {2023},\r\n      number = {7},\r\n      pages = {3740},\r\n      url = {https://www.mdpi.com/1424-8220/23/7/3740},\r\n      issn = {1424-8220},\r\n      doi = {10.3390/s23073740}\r\n    }\r\n\r\n[trajectory_calibration]: https://github.com/tau-alma/trajectory_calibration","description_withheld":null,"homepage":"https://github.com/tau-alma/trajectory_calibration_experiments","introduced_date":"2023-03-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/motion-based-extrinsic-sensor-to-sensor","title":"Motion-based extrinsic sensor-to-sensor calibration: Effect of reference frame selection for new and existing methods","first_author":null,"url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"6D","url":"/datasets/modality/6d"}],"tasks":[{"name":"6D Pose Estimation","url":"/task/6d-pose-estimation-1","datasets_with_task":"/datasets/task/6d-pose-estimation-1"}],"languages":[],"variants":["Trajectory calibration experiments"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}