Add calibration cameras (faces blurred) and 2020 phone captures
Browse files- README.md +38 -7
- calibration_2023-24/2023-12-21_cam_lidar/camera_01.blur.json +1 -0
- calibration_2023-24/2023-12-21_cam_lidar/camera_01.frames.parquet +3 -0
- calibration_2023-24/2023-12-21_cam_lidar/camera_01.hevc.mp4 +3 -0
- calibration_2023-24/2023-12-21_cam_lidar/sensors/camera_01_camera_info.parquet +3 -0
- calibration_2023-24/2023-12-21_cam_lidar/sensors/tf.parquet +3 -0
- calibration_2023-24/2023-12-21_cam_lidar/source.json +37 -0
- calibration_2023-24/2024-05-10_chessboard/camera_front.blur.json +0 -0
- calibration_2023-24/2024-05-10_chessboard/camera_front.frames.parquet +3 -0
- calibration_2023-24/2024-05-10_chessboard/camera_front.hevc.mp4 +3 -0
- calibration_2023-24/2024-05-10_chessboard/sensors/camera_front_camera_info.parquet +3 -0
- calibration_2023-24/2024-05-10_chessboard/sensors/ouster_imu.parquet +3 -0
- calibration_2023-24/2024-05-10_chessboard/sensors/tf.parquet +3 -0
- calibration_2023-24/2024-05-10_chessboard/source.json +46 -0
- calibration_2023-24/SHA256SUMS +13 -0
- phone_snow_2020-02/IMG_20200209_141643.jpg +3 -0
- phone_snow_2020-02/IMG_20200209_141645.jpg +3 -0
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- phone_snow_2020-02/SHA256SUMS +21 -0
- phone_snow_2020-02/VID_20200209_141306.mp4 +3 -0
- phone_snow_2020-02/VID_20200209_141855.mp4 +3 -0
- phone_snow_2020-02/VID_20200209_142337.mp4 +3 -0
- phone_snow_2020-02/VID_20200209_145627.mp4 +3 -0
- phone_snow_2020-02/captures.parquet +3 -0
README.md
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# WMU AD Assurance Lab drives, 2019-2025
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Smaller recordings from the AD Assurance Lab at Western Michigan University: a six-camera urban drive, radar test
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drives, radar-only drives, ZED 2i campus drives,
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[`AD-Assurance-Lab/ouster-lidar-drives`](https://huggingface.co/datasets/AD-Assurance-Lab/ouster-lidar-drives).
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| Collection | When | What | Size |
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| `radar_lidar_2020-21` | 2020-03-05, 2021-01-07 | a highway and a city drive, radar only | 14 MB |
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| `zed2i_campus_2022-07` | 2022-07-27, 2022-07-29 | two campus drives, ZED 2i left camera | 1.6 GB |
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| `lidar_weather_tests_2019` | Oct-Nov 2019 | 13 static 2D-lidar runs in four weather conditions | 2.5 MB |
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| `wmu_shuttle_2025-01` | 2025-01-29 | one 3-minute campus shuttle drive, one camera | 531 MB |
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## Sensors
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| Sensor | Make and model | Collections | Source |
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| Cameras | Basler, 1440×1080 (six at about 15 fps in the urban drive, one in the radar tests, one at about 10 fps on the shuttle) | `kia_urban_2023-12`, `radar_tests_2023-24`, `wmu_shuttle_2025-01` | `camera_info` in the bags |
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| Stereo camera | Stereolabs ZED 2i (left eye released), 1920×1080, about 14.6 fps | `zed2i_campus_2022-07` | Carow et al. 2023 |
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| Radar | Aptiv (Delphi) ESR 2.5 | `radar_tests_2023-24`, `radar_lidar_2020-21` | Brown et al. 2022 |
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| Second radar | smartmicro UMRR-96 Type 153 (inferred) | point clouds in three `radar_tests_2023-24` bags (2024-02-15, 2024-03-27) | Brown et al. 2023 sensor list |
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| Road weather | Lufft MARWIS (serial 10722) | `kia_urban_2023-12` | `/LastValues` topic |
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| 2D lidar | Slamtec RPLIDAR A2 | `lidar_weather_tests_2019` | Goberville et al. 2020 |
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| Drive by wire | PolySync OSCC on the lab Kia Niro | `kia_urban_2023-12`, `radar_tests_2023-24` | Brown et al. 2022 |
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| LiDAR | Ouster OS1-64 Gen1, serial 991951000513 (IMU here, plus its metadata in the radar tests and the shuttle; point clouds in the companion dataset) | `kia_urban_2023-12`, `radar_tests_2023-24`, `wmu_shuttle_2025-01` | sensor metadata |
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## Conventions
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run, the condition, distance, duration and scan count, the mean number of finite returns per scan, and the authors'
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published "average hits" on the target (a different measure).
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## `wmu_shuttle_2025-01`: campus shuttle drive
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One 179.5 s campus drive on 2025-01-29: a Basler camera at 1440×1080 and about 10 fps, 1,724 frames, as HEVC (lossless
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## Privacy
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The cameras face outward. Pedestrians are small and distant; parked-car plates are legible in a few frames and
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blurred, as in the lab's winter-driving release.
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## Citation
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Region of Interest," SAE Technical Paper 2022-01-0078, doi:10.4271/2022-01-0078.
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* **`radar_tests_2023-24`**: related to N. E. Brown et al., "Real World Use Case Evaluation of Radar Retro-reflectors
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for Autonomous Vehicle Lane Detection Applications," SAE Technical Paper 2024-01-2042, doi:10.4271/2024-01-2042.
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* **`kia_urban_2023-12`, `wmu_shuttle_2025-01`**: no paper yet; please
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```bibtex
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@misc{wmu_lab_drives_2026,
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# WMU AD Assurance Lab drives, 2019-2025
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Smaller recordings from the AD Assurance Lab at Western Michigan University: a six-camera urban drive, radar test
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drives, radar-only drives, ZED 2i campus drives, two camera-LiDAR calibration recordings, a 2025 campus shuttle drive,
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a 2019 2D-lidar weather test and phone captures of a 2020 snowy highway drive. The Ouster point clouds from the same
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recordings are in a companion dataset,
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[`AD-Assurance-Lab/ouster-lidar-drives`](https://huggingface.co/datasets/AD-Assurance-Lab/ouster-lidar-drives).
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| Collection | When | What | Size |
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| `radar_lidar_2020-21` | 2020-03-05, 2021-01-07 | a highway and a city drive, radar only | 14 MB |
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| `zed2i_campus_2022-07` | 2022-07-27, 2022-07-29 | two campus drives, ZED 2i left camera | 1.6 GB |
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| `lidar_weather_tests_2019` | Oct-Nov 2019 | 13 static 2D-lidar runs in four weather conditions | 2.5 MB |
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| `phone_snow_2020-02` | 2020-02-09 | 4 phone videos and 16 photos through the windshield on snowy highways | 1.0 GB |
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| `calibration_2023-24` | 2023-12-21, 2024-05-10 | two camera-LiDAR chessboard calibration recordings, one camera each | 959 MB |
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| `wmu_shuttle_2025-01` | 2025-01-29 | one 3-minute campus shuttle drive, one camera | 531 MB |
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## Sensors
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| Sensor | Make and model | Collections | Source |
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|---|---|---|---|
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| Cameras | Basler, 1440×1080 (six at about 15 fps in the urban drive, one in the radar tests, one at about 10 fps on the shuttle, one in each calibration recording) | `kia_urban_2023-12`, `radar_tests_2023-24`, `calibration_2023-24`, `wmu_shuttle_2025-01` | `camera_info` in the bags |
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| Stereo camera | Stereolabs ZED 2i (left eye released), 1920×1080, about 14.6 fps | `zed2i_campus_2022-07` | Carow et al. 2023 |
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| Radar | Aptiv (Delphi) ESR 2.5 | `radar_tests_2023-24`, `radar_lidar_2020-21` | Brown et al. 2022 |
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| Second radar | smartmicro UMRR-96 Type 153 (inferred) | point clouds in three `radar_tests_2023-24` bags (2024-02-15, 2024-03-27) | Brown et al. 2023 sensor list |
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| Road weather | Lufft MARWIS (serial 10722) | `kia_urban_2023-12` | `/LastValues` topic |
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| 2D lidar | Slamtec RPLIDAR A2 | `lidar_weather_tests_2019` | Goberville et al. 2020 |
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| Drive by wire | PolySync OSCC on the lab Kia Niro | `kia_urban_2023-12`, `radar_tests_2023-24` | Brown et al. 2022 |
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| LiDAR | Ouster OS1-64 Gen1, serial 991951000513 (IMU here, plus its metadata in the radar tests and the shuttle; point clouds in the companion dataset) | `kia_urban_2023-12`, `radar_tests_2023-24`, `calibration_2023-24`, `wmu_shuttle_2025-01` | sensor metadata |
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## Conventions
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run, the condition, distance, duration and scan count, the mean number of finite returns per scan, and the authors'
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published "average hits" on the target (a different measure).
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## `calibration_2023-24`: camera-LiDAR calibration recordings
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Two recordings of a chessboard target moved in front of a Basler camera and the Ouster, for camera-LiDAR calibration.
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| Recording | Where | Duration | Camera frames | Also |
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| `2023-12-21_cam_lidar` | indoors, in the lab | 91.8 s | 354 at about 4 fps (`camera_01`) | `camera_info`, `/tf` |
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| `2024-05-10_chessboard` | outdoors, a parking lot | 137.7 s | 4,130 at about 30 fps (`camera_front`) | `camera_info`, `/tf`, Ouster IMU |
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The cameras are HEVC (lossless FFV1 in the archive), with faces blurred (see Privacy). No calibration result was
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recorded: `/tf` holds only the Ouster's internal frames. The LiDAR scans are in the companion dataset
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(`calibration_2023-24`).
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## `phone_snow_2020-02`: snowy highway, phone captures
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Four videos (1920×1080 at 30 fps, 6.0 minutes in total) and 16 photos (4032×3024) taken with a phone through a car's
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windshield on 2020-02-09, on snow-covered highways near Kalkaska in northern Michigan. The video streams and the photo
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image data are the phone's originals; the audio tracks and all file metadata were removed. `captures.parquet` keeps each
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file's UTC time, video duration and the phone's GPS position. The photos' positions are the phone's last fix and can lag
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by a few minutes.
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## `wmu_shuttle_2025-01`: campus shuttle drive
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One 179.5 s campus drive on 2025-01-29: a Basler camera at 1440×1080 and about 10 fps, 1,724 frames, as HEVC (lossless
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## Privacy
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The driving cameras face outward. Pedestrians are small and distant; parked-car plates are legible in a few frames and
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are not blurred, as in the lab's winter-driving release.
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In `calibration_2023-24` the people moving the chessboard have their faces blurred. Faces and heads were found with
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OpenCV YuNet and torchvision Keypoint R-CNN, each box was held two frames either side, and the frames left unblurred
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were checked by eye. In a few frames of `2023-12-21_cam_lidar` the blur also covers part of the board. The MD5s in
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`frames.parquet` are of the original images, so they do not match these videos; the originals stay in the lab
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archive.
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## Citation
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Region of Interest," SAE Technical Paper 2022-01-0078, doi:10.4271/2022-01-0078.
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* **`radar_tests_2023-24`**: related to N. E. Brown et al., "Real World Use Case Evaluation of Radar Retro-reflectors
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for Autonomous Vehicle Lane Detection Applications," SAE Technical Paper 2024-01-2042, doi:10.4271/2024-01-2042.
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+
* **`kia_urban_2023-12`, `calibration_2023-24`, `phone_snow_2020-02`, `wmu_shuttle_2025-01`**: no paper yet; please
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cite this dataset.
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```bibtex
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@misc{wmu_lab_drives_2026,
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calibration_2023-24/2023-12-21_cam_lidar/camera_01.blur.json
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calibration_2023-24/2023-12-21_cam_lidar/camera_01.frames.parquet
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calibration_2023-24/2024-05-10_chessboard/camera_front.blur.json
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The diff for this file is too large to render.
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calibration_2023-24/2024-05-10_chessboard/camera_front.frames.parquet
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calibration_2023-24/2024-05-10_chessboard/camera_front.hevc.mp4
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| 46 |
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|
calibration_2023-24/SHA256SUMS
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14e050911d6a8993023532d4f919fd138b8d1bf3a81e8d57f407259ecc711671 ./2023-12-21_cam_lidar/camera_01.blur.json
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11b2d9feb0ede1ed876b365cad14a26217debac52f3f3513730c157089dc62e2 ./2023-12-21_cam_lidar/camera_01.frames.parquet
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c2d771f175573e8ea4d90d4c64a107898cb006de3b9a954bd45030796f4120cd ./2023-12-21_cam_lidar/sensors/camera_01_camera_info.parquet
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514f0e92324a23421c42cc353f095527761540c67f0e76d99a56d259aa330bef ./2024-05-10_chessboard/camera_front.blur.json
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106499aa2a12ac0465cb6f51da799aa9262fd2bf255412b7ad73a99a04cc7c81 ./2024-05-10_chessboard/camera_front.hevc.mp4
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