{"url":"/dataset/aimotive-dataset","name":"aiMotive Dataset","full_name":"aiMotive Multimodal Dataset","description_markdown":"aiMotive dataset is a multimodal dataset for robust autonomous driving with long-range perception. The dataset consists of 176 scenes with synchronized and calibrated LiDAR, camera, and radar sensors covering a 360-degree field of view. The collected data was captured in highway, urban, and suburban areas during daytime, night, and rain and is annotated with 3D bounding boxes with consistent identifiers across frames.","description_withheld":null,"homepage":"https://github.com/aimotive/aimotive_dataset","introduced_date":"2022-11-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/aimotive-dataset-a-multimodal-dataset-for","title":"aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception","first_author":"Tamás Matuszka","url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"Tracking","url":"/datasets/modality/tracking"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"}],"languages":[],"variants":["aiMotive Dataset"],"data_loaders":[{"repo":"https://github.com/aimotive/mm_training","url":"https://github.com/aimotive/mm_training","frameworks":["pytorch"]},{"repo":"https://github.com/aimotive/aimotive-dataset-loader","url":"https://github.com/aimotive/aimotive-dataset-loader","frameworks":["pytorch"]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-object-detection-on-aimotive-dataset","task":"3D Object Detection","dataset_variant":"aiMotive Dataset","rows":3,"metrics":["BEV AP@0.3 Highway","BEV AP@0.3 Night","BEV AP@0.3 Rain","BEV AP@0.3 Urban"],"first_row_in_archive_order":{"model":"Lidar-Radar-Camera","paper":"/paper/aimotive-dataset-a-multimodal-dataset-for","metrics":{"BEV AP@0.3 Highway":"0.762","BEV AP@0.3 Night":"0.730","BEV AP@0.3 Rain":"0.423","BEV AP@0.3 Urban":"0.644"},"code_links":[{"title":"aimotive/aimotive_dataset","url":"https://github.com/aimotive/aimotive_dataset"},{"title":"aimotive/mm_training","url":"https://github.com/aimotive/mm_training"},{"title":"aimotive/aimotive-dataset-loader","url":"https://github.com/aimotive/aimotive-dataset-loader"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/aimotive-dataset-a-multimodal-dataset-for","title":"aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception","date":"2022-11-17","rows_on_this_dataset":3,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}