Datasets
Standard Dataset
IAMCV Interaction of Autonomous and Manually Controlled Vehicles
- Citation Author(s):
- Submitted by:
- Novel Certad
- Last updated:
- Wed, 06/26/2024 - 07:29
- DOI:
- 10.21227/d1g3-c160
- Data Format:
- Research Article Link:
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Abstract
The IAMCV Dataset was acquired as part of the FWF Austrian Science Fund-funded Interaction of Autonomous and Manually-Controlled Vehicles project. It is primarily centred on inter-vehicle interactions and captures a wide range of road scenes in different locations across Germany, including roundabouts, intersections, and highways. These locations were carefully selected to encompass various traffic scenarios, representative of both urban and rural environments. By simultaneously capturing data from multiple sensor modalities, our dataset provides an in-depth understanding of the road network from a driver-centric perspective, enabling researchers and developers to analyze, model, and evaluate autonomous driving algorithms and systems under diverse conditions. The data is available as: .csv, .pcd, and .jpeg files.
The IAMCV dataset comprises different types of data:
- Point clouds: The point clouds from the three LIDARs were stored using PCD file format. All the original fields that came from the LIDARs were also stored in the file:
- x,y,z: coordinates of the target in the sensor frame of reference.
- range: distance from the sensor to the target in mm.
- ambience: or near IR, is the ambience level of infrared sensed by the receiver when the transmitter is not pointing to that area.
- intensity: level of the signal in the receiver.
- reflectivity: reflectivity level of the target.
- ring: LIDAR's layer.
- Images: Similarly, the images from the three cameras were stored using PNG file format. The images are stored without rectification and the intrinsic parameters are provided. The images of the dataset were anonymized before publishing by blurring faces and license plates.
Regarding the naming, files from cameras and LIDARs were named using the format "nn_sensor_tttttttttt.tttt.ext" as follows:
- nn: stands for the number of the recording. Each recording has a unique two-digit identifier.
- sensor: indicates whether the sensor is a camera or a LIDAR and its position. e.g., "camera_c" stands for the camera located in the center of the vehicle, and "lidar_l" stands for the LIDAR located in the left side of the vehicle.
- tttttttttt.tttt: it corresponds to the timestamp of the frame.
- ext: file extension .pcd or .png
The GNSS/INS files adopt the convention:
- “nn_gps.csv”: raw gps data with timestamps.
- “nn_imu.csv”: raw IMU data with timestamps.
- “nn_nav_odom.csv”: filtered navigation data (Kalman filtered GPS + IMU) with timestamps.
For calibration, the files use the convention:
- “nn_camera_x_intrinsics.yaml”: contains the intrinsic calibration for camera “x” (“x” meaning the location of the camera: “r”, ”l” or “c”).
- “nn_tf.csv”: this file contains the extrinsic calibration of the sensors.
Dataset Files
- 12_downtown
- camera
- 12_camera_c.zip (41.80 GB)
- 12_camera_l.zip (4.94 GB)
- 12_camera_r.zip (39.69 GB)
- info
- 12_camera_c_intrinsics.yaml (677 bytes)
- 12_camera_l_intrinsics.yaml (679 bytes)
- 12_camera_r_intrinsics.yaml (677 bytes)
- 12_carstate.csv (10.29 MB)
- 12_gps.csv (630.67 kB)
- 12_imu.csv (35.13 MB)
- 12_nav_odom.csv (8.09 MB)
- 12_tf.csv (2.74 kB)
- lidar
- 12_lidar_c.zip (5.16 GB)
- 12_lidar_l.zip (7.48 GB)
- 12_lidar_r.zip (7.59 GB)
- 24_roundabout
- camera
- 24_camera_c.zip (43.82 GB)
- 24_camera_l.zip (41.86 GB)
- 24_camera_r.zip (43.64 GB)
- info
- 24_camera_c_intrinsics.yaml (677 bytes)
- 24_camera_l_intrinsics.yaml (679 bytes)
- 24_camera_r_intrinsics.yaml (677 bytes)
- 24_carstate.csv (8.69 MB)
- 24_gps.csv (687.08 kB)
- 24_imu.csv (38.20 MB)
- 24_nav_odom.csv (8.79 MB)
- 24_tf.csv (2.74 kB)
- lidar
- 24_lidar_c.zip (4.24 GB)
- 24_lidar_l.zip (5.39 GB)
- 24_lidar_r.zip (5.39 GB)
- 25_roundabout
- camera
- 25_camera_c.zip (38.86 GB)
- 25_camera_l.zip (24.71 GB)
- 25_camera_r.zip (39.46 GB)
- info
- 25_camera_c_intrinsics.yaml (677 bytes)
- 25_camera_l_intrinsics.yaml (679 bytes)
- 25_camera_r_intrinsics.yaml (677 bytes)
- 25_carstate.csv (8.48 MB)
- 25_gps.csv (643.45 kB)
- 25_imu.csv (35.56 MB)
- 25_nav_odom.csv (8.22 MB)
- 25_tf.csv (2.74 kB)
- lidar
- 25_lidar_c.zip (3.89 GB)
- 25_lidar_l.zip (4.85 GB)
- 25_lidar_r.zip (4.90 GB)
- changelog.txt (356 bytes)