UGV
ROVER
Visual SLAM across seasons and lighting conditions
Thirty-nine outdoor ground-robot recordings with RGB, RGB-D, stereo and inertial streams, plus external total-station position references.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- UGV
- Environment
- Outdoor
- Data origin
- Real-world
- Sensor count
- 9
- 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
|
|---|---|---|---|---|---|---|
| 3D position | Total station | Tracked prism · Leica TS16 | Not reported | Not reported | Unknown |
Reference provenance
External
|
|
||||||
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
Kalibr camera/IMU and CAD prism transforms; raw sessions not established.
Known or intentional limitations
Reported constraints and characteristics to check before using the dataset.
Campus Large Summer has no Pi Camera data; Campus Large Dusk and Garden Small Winter have no D435i IMU data. Park has no winter recording because of heavy slippage.
The approximately 7.2 km and 311 minutes are collection totals, not per-sequence values. Thirty-nine recordings span four seasons from July 2023 to September 2024.
The total station supplies position rather than full pose. Its variable rate, line-of-sight coverage and device specification do not establish a uniform trajectory accuracy bound.
Clock alignment is reported at millisecond level using GNSS-referenced NTP; this does not establish common hardware triggering for all cameras.
Separate accelerometer and gyroscope rates differ from the generated ROS combined-message cadence. Raw calibration-session availability remains unverified.
Cameras
Camera 1
- Model
- Joy IT Pi Camera
- Setup
- Mono
- Count
- 1
- Effective cameras
- 1
- Modality
- Rgb
- Resolution
- 640 x 480
- Rate
- 30 Hz
- Shutter
- Rolling
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- Absent from Campus Large Summer; other camera availability differs from the D435i IMU omissions.
Camera 2
- Model
- Intel RealSense D435i
- Setup
- Rgbd
- Count
- 1
- Effective cameras
- 2
- Modality
- Rgbd
- Resolution
- 640 x 480
- Rate
- 30 Hz
- Shutter
- Other
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- RGB rolling shutter; depth global shutter. Mixed stream shutter cannot be one uniform global value.
Camera 3
- Model
- Intel RealSense T265
- Setup
- Stereo
- Count
- 1
- Effective cameras
- 2
- Modality
- Grayscale
- Resolution
- 848 x 800
- Rate
- 30 Hz
- Shutter
- Global
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
IMUs
Intel RealSense D435i integrated IMU
- Model
- Not reported
- Count
- 1
- Accel / gyro
- 100 / 200 Hz
Intel RealSense T265 integrated IMU
- Model
- Not reported
- Count
- 1
- Accel / gyro
- 65 / 200 Hz
VectorNav VN100
- Model
- VectorNav VN100
- Count
- 1
- Accel / gyro
- 65 / 65 Hz
GNSS
LiDAR
Radar
Additional sensors
Magnetometer
- Model
- VectorNav VN100
- Name
- VN100 magnetometer component
- Count
- 1
- Rate
- 65 Hz
- Notes
- Component of the listed VN100 package, not an additional physical device.
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.
@article{schmidt2025rover,
author = {Schmidt, Fabian and Daubermann, Julian and Mitschke, Marcel and Blessing, Constantin and Meyer, Stephan and Enzweiler, Markus and Valada, Abhinav},
title = {{ROVER}: A Multiseason Dataset for Visual {SLAM}},
journal = {IEEE Transactions on Robotics},
year = {2025},
volume = {41},
pages = {4005--4022},
doi = {10.1109/TRO.2025.3577026}
}
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