Other
Oxford Forest
Dense-forest lidar place recognition and localization
Forest backpack recordings with released lidar, camera and IMU streams and SLAM-derived poses, across Finland, Switzerland and the UK. Exact stream specifications and independent reference accuracy remain unknown.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- Other
- Environment
- Outdoor
- Data origin
- Real-world
- Sensor count
- 4
- 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
|
|---|---|---|---|---|---|---|
| 6DoF | LiDAR SLAM | Not reported | Not reported | Not reported | Unknown |
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
Official release provides calibration files separately for the two lidar models; raw calibration recording coverage is not established.
Known or intentional limitations
Reported constraints and characteristics to check before using the dataset.
Reference uses SLAM estimates without established independent global accuracy; release pose coverage/rate unspecified.
Occlusion/clutter, large viewpoint differences and diminishing scan overlap reduce reliable geometric verification.
Figure 5 fourth subplot says WildPlace K-04 although text/caption identify four forest sites including Forest of Dean.
Raw camera/IMU streams are documented, but exact sensor specifications, recording totals and any legged-robot raw release remain unestablished. Four forest folders do not establish a four-sequence count.
Cameras
Camera 1
- Model
- Not reported
- Setup
- Multi Camera
- Count
- 1
- Effective cameras
- 1
- Modality
- Not Reported
- Resolution
- Not reported
- Rate
- Not reported
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- Official raw ROS bags include camera image topics /alphasense_driver_ros/cam_{number}/compressed. Physical model, count, image modality, resolution and cadence are not established.
IMUs
Released IMU stream
- Model
- Not reported
- Count
- 1
- Accel / gyro
- Not reported
GNSS
LiDAR
Hesai XT-32
- Model or name
- Hesai XT-32
- Count
- 1
- Dimensions
- 3
- Rate
- Not reported
- Channels
- Not reported
- Range
- Not reported
Hesai QT-64
- Model or name
- Hesai QT-64
- Count
- 1
- Dimensions
- 3
- Rate
- Not reported
- Channels
- Not reported
- Range
- Not reported
Radar
Additional sensors
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.
@misc{oh2024forestv2,
title={Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests},
author={Oh, Haedam and Chebrolu, Nived and Mattamala, Matias and Freißmuth, Leonard and Fallon, Maurice},
year={2024},
eprint={2403.14326},
archivePrefix={arXiv},
note={Selected version 2, dated 30 August 2024}
}
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