Platform not reported
WildCross
Cross-modal place recognition and metric depth estimation
Eight forest traversals spanning fourteen months, with about 476K sequential color images, semi-dense depth and surface normals, SLAM-derived camera poses and dense lidar submaps.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- Not reported
- Environment
- Outdoor
- Data origin
- Real-world
- Sensor count
- 2
- Ground truth
- Available
- Calibration
- Not reported
- Annotations
- Available
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
|
|---|---|---|---|---|---|---|
| 6DoF | LiDAR SLAM | Lidar-inertial SLAM | Not reported | 15 Hz | Full |
Reference provenance
Derived
|
|
||||||
| Other | Other | Not reported | Not reported | 15 Hz | Full |
Reference provenance
Derived
|
|
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Calibration and synchronization
Reported calibration level, reproducibility signals, and supporting notes.
- Level
- Not reported
- Processed parameters
- Not reported
- Raw calibration data
- Not reported
- Calibration targets
- Not reported
Calibration data
Calibration reproducibility details are not reported.
Notes
Image rectification uses calibrated distortion parameters; camera-to-SLAM extrinsics transform image poses. Availability of raw calibration sequences is not established.
Known or intentional limitations
Reported constraints and characteristics to check before using the dataset.
Metric depth is semi-dense; visibility filtering does not imply labels for every pixel.
Camera pose and depth references derive from lidar maps/SLAM; independent numeric accuracy remains unestablished.
Reverse trajectories create challenging viewpoint changes within and across sessions.
Exact quantitative VPR averages differ between Section V-A prose and Tables IV/V.
Cameras
forward_rgb
- Model
- Not reported
- Setup
- Not Reported
- Count
- 1
- Effective cameras
- 1
- Modality
- Rgb
- Resolution
- Not reported
- Rate
- 15 Hz
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- Rectified images extracted from forward-facing video. Depth and surface normals are derived annotations, not a separate RGB-D device.
IMUs
GNSS
LiDAR
LiDAR 1
- Model or name
- LiDAR 1
- Count
- 1
- Dimensions
- 3
- Rate
- Not reported
- Channels
- Not reported
- Range
- Not reported
Radar
Pitot tube
Additional sensors
Annotations
Reported annotation availability and task support.
- Availability
- Available
- Format
- Not reported
- Class count
- Not reported
Citation
Citation key and BibTeX kept at the end of the page for reference.
Dataset corrections
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