UGV, Quadruped

NeBula Odometry (LOCUS 2.0)

Underground LiDAR odometry and resource-constrained SLAM

Husky and Spot NeBula recordings release LiDAR, inertial and odometry streams with map-localization references.

Metadata: Complete Metadata source documented Released 2022

Quick facts

Vehicle type
UGV, Quadruped
Environment
Indoor, Outdoor
Data origin
Real-world
Sensor count
5
Ground truth
Available
Calibration
Not reported
Annotations
Not reported

Sensor overview

High-level sensor availability before the detailed sensor records below.

Ground truth

Reference scope, method, rate, coverage, and provenance.

Ground-truth references for NeBula Odometry (LOCUS 2.0)
Scope Method Reference system Count Rate Coverage Reference provenance
External
Measured using equipment independent of the platform’s normal onboard sensor pipeline.
Derived
Computed primarily from the dataset’s own recorded sensors.
Hybrid
Combines independent reference equipment with onboard measurements.
6DoF LiDAR SLAM LOCUS 1.0 localization against survey maps Not reported Not reported Unknown Reference provenance
External
Measured using equipment independent of the platform’s normal onboard sensor pipeline.
Derived
Computed primarily from the dataset’s own recorded sensors.
Hybrid
Combines independent reference equipment with onboard measurements.
Hybrid
Reference notes
Reference localization reuses released LiDAR against external maps, with slow tuning and manual correction; independence and coverage are not guaranteed.

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

Not reported

Known or intentional limitations

Reported constraints and characteristics to check before using the dataset.

This entry describes the LiDAR odometry release accompanying LOCUS 2.0; later Hovermap material is not merged into its counts.

Husky and Spot use alternative one/three-LiDAR configurations. Camera and IMU physical counts/models are not established for every recording.

LOCUS localization against survey maps reuses recorded LiDAR, with manual tuning and corrections. It is not a wholly independent motion-capture trajectory.

Wheel-inertial odometry and IMU logging cadence are not native component rates. Aggregate totals and achieved reference accuracy remain unknown.

Cameras

Camera 1

Model
Not reported
Setup
Not Reported
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
Camera streams are released, but model, count, setup, resolution and rate are unreported.

IMUs

Released inertial measurements

Model
Not reported
Count
1
Accel / gyro
Not reported

GNSS

Not reported

LiDAR

Velodyne VLP16

Model or name
Velodyne VLP16
Count
1
Dimensions
3
Rate
10 Hz
Channels
Not reported
Range
Not reported

Radar

Not reported

Additional sensors

Odometry

Name
Wheel-inertial odometry
Count
1
Rate
50 Hz
Notes
50 Hz applies to wheel-inertial odometry; Spot KIO/VIO have unreported rates.

Odometry

Name
Spot KIO / VIO
Count
1
Notes
Kinematic-inertial and visual-inertial readouts; cadence unreported.

Annotations

Reported annotation availability and task support.

Availability
Not reported
Format
Not reported
Class count
Not reported
Semantic segmentation Not reported
Instance segmentation Not reported
Object detection Not reported
Optical flow Not reported
Depth ground truth Not reported

Citation

Citation key and BibTeX kept at the end of the page for reference.

Citation key
reinke2022nebulaodometry

BibTeX

@misc{reinke2022nebulaodometry,
  author = {Andrzej Reinke and Matteo Palieri and Benjamin Morrell and Yun Chang and Kamak Ebadi and Luca Carlone and Ali-akbar Agha-mohammadi},
  title = {LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping},
  year = {2022},
  url = {https://arxiv.org/abs/2205.11784v2}
}

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