Automotive
Oxford Radar RobotCar
Scanning radar odometry, localization and multimodal mapping
Repeated Oxford vehicle traversals combine range-intensity scanning radar, surround sensors and derived planar radar-frame odometry.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- Automotive
- Environment
- Outdoor
- Data origin
- Real-world
- Sensor count
- 14
- Ground truth
- Available
- Calibration
- Parameters Only
- Annotations
- Not reported
Sensor overview
High-level sensor availability before the detailed sensor records below.
Ground truth
Reference scope, method, rate, coverage, and provenance.
| Scope | Method | Reference system | Count | Rate | Coverage |
Reference provenance
|
|---|---|---|---|---|---|---|
| 2D + heading | Visual SLAM | Joint VO/loop-closure/GPS-INS optimization | Not reported | 4 Hz | Full |
Reference provenance
Derived
|
|
||||||
Calibration and synchronization
Reported calibration level, reproducibility signals, and supporting notes.
- Level
- Parameters Only
- Processed parameters
- Available
- Raw calibration data
- Not reported
- Calibration targets
- Not reported
Parameters only
Processed calibration parameters are reported, but raw calibration data is not reported.
Notes
SDK includes sensor extrinsics; seed measurements optimized with laser/radar observations.
Known or intentional limitations
Reported constraints and characteristics to check before using the dataset.
Thirty-two January 2019 traversals cover 280 km, including two partial routes. This radar extension has its own release and does not inherit the parent year-long recording totals.
Reference odometry is derived SE(2) motion at radar times; CSV zero height/roll/pitch do not make it 6-DoF truth. Navigation and visual observations are shared with normal inputs.
Radar has no Doppler. Missing azimuths can be interpolated and flagged; binary LiDAR clouds are not motion compensated. Precise storage units and achieved timing/reference errors remain unknown.
Full access requires Google-account authorization; samples are separately available. Extrinsics are provided, while complete raw calibration sessions and long-term rigidity remain unverified.
Cameras
Camera 1
- Model
- Point Grey Bumblebee XB3 BBX3-13S2C-38
- Setup
- Trinocular
- Count
- 1
- Effective cameras
- 3
- Modality
- Rgb
- Resolution
- 1280 x 960
- Rate
- 16 Hz
- Shutter
- Global
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
Camera 2
- Model
- Point Grey Grasshopper2 GS2-FW-14S5C-C
- Setup
- Fisheye
- Count
- 3
- Effective cameras
- 3
- Modality
- Rgb
- Resolution
- 1024 x 1024
- Rate
- 11.1 Hz
- Shutter
- Global
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
IMUs
NovAtel SPAN-CPT ALIGN
- Model
- Not reported
- Count
- 1
- Accel / gyro
- Not reported
GNSS
NovAtel SPAN-CPT ALIGN
- Model or name
- NovAtel SPAN-CPT ALIGN
- Count
- 1
- Rate
- Not reported
- GNSS type
- GPS_IMU
- Position output
- Available
- Velocity output
- Not reported
- Heading output
- Not reported
LiDAR
Velodyne HDL-32E
- Model or name
- Velodyne HDL-32E
- Count
- 2
- Dimensions
- 3
- Rate
- 20 Hz
- Channels
- 32
- Range
- Not reported
SICK LMS-151
- Model or name
- SICK LMS-151
- Count
- 2
- Dimensions
- 2
- Rate
- 50 Hz
- Channels
- Not reported
- Range
- Not reported
Radar
Navtech CTS350-X
- Count
- 1
- Released data
- Scanning power images
- Frame rate
- 4 Hz
- Doppler velocity
- Not available
- Elevation angle
- Not available
- Configured range
- 163 m
- Field of view
- 360° H (per radar)
- File format
- Polar PNG
- Notes
- No Doppler; 400 azimuths ×3768 range-power bins, configured 163 m.
Additional sensors
Odometry
- Name
- Released visual odometry
- Count
- 1
- Notes
- The official directory layout includes vo/vo.csv, distinct from the optimized planar radar reference.
Annotations
Reported annotation availability and task support.
- Availability
- Not reported
- Format
- Not reported
- Class count
- Not reported
Citation
Citation key and BibTeX kept at the end of the page for reference.
@inproceedings{barnes2020radarrobotcar,
address = {Paris},
author = {Dan Barnes and Matthew Gadd and Paul Murcutt and Paul Newman and Ingmar Posner},
title = {The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
url = {https://arxiv.org/abs/1909.01300},
pdf = {https://arxiv.org/pdf/1909.01300.pdf},
year = {2020}
}
Dataset corrections
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