Handheld

SLABIM

SLAM–BIM registration; localization; semantic mapping

Handheld indoor sensing and mapped trajectories paired with HKUST building information models.

Metadata: Complete Metadata source documented Released 2025

Quick facts

Vehicle type
Handheld
Environment
Indoor
Data origin
Real-world
Sensor count
5
Ground truth
Available
Calibration
Parameters Only
Annotations
Available

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 SLABIM
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 Offline mapping and BIM alignment 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
Sensor-fusion mapping/refinement plus manual initialization/local alignment to BIM; reference derived from input sensors, with RTK corrections when available.

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

Raw sessions not established.

Known or intentional limitations

Reported constraints and characteristics to check before using the dataset.

Twelve sessions cover selected regions on four floors. The building-wide BIM area is not the scanned trajectory footprint.

Semantic labels describe BIM elements, not a verified frame-wise image segmentation release. Reference trajectories reuse sensing, conditional RTK and BIM registration.

The reported 200 Hz IMU output does not establish native component sampling. Continuous indoor GNSS, raw calibration sessions and achieved reference errors remain unknown.

Cameras

Camera 1

Model
Not reported
Setup
Fisheye
Count
2
Effective cameras
2
Modality
Other
Resolution
3040 x 4032
Rate
Not reported
Shutter
Not Reported
Lens type
Not Reported
HFOV
Not reported
VFOV
Not reported
Notes
Two fisheye systems; image cadence not specified, sparse published image counts must not be converted into native camera rate.

IMUs

ICM40609

Model
ICM40609
Count
1
Accel / gyro
Not reported

GNSS

Unicore UM980

Model or name
Unicore UM980
Count
1
Rate
10 Hz
GNSS type
RTK
Position output
Available
Velocity output
Not reported
Heading output
Not reported

LiDAR

Livox Mid-360

Model or name
Livox Mid-360
Count
1
Dimensions
3
Rate
10 Hz
Channels
Not reported
Range
Not reported

Radar

Not reported

Additional sensors

Not reported

Annotations

Reported annotation availability and task support.

Availability
Available
Format
BIM-level wall/floor/door/column labels; do not assume frame-wise human semantic annotations.
Class count
Not reported
Semantic segmentation Available
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
huang2025slabim

BibTeX

@misc{huang2025slabim,
  author = {Haoming Huang and Zhijian Qiao and Zehuan Yu and Chuhao Liu and Shaojie Shen and Fumin Zhang and Huan Yin},
  title = {SLABIM: A SLAM-BIM Coupled Dataset in HKUST Main Building},
  year = {2025},
  url = {https://arxiv.org/abs/2502.16856v1}
}

Dataset corrections

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