UGV, Automotive

DIDLM

Multi-sensor SLAM in adverse conditions

Ground-robot and vehicle recordings combine RGB, stereo depth, infrared, LiDAR, IMU and radar through rain, snow, darkness and rough roads.

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Quick facts

Vehicle type
UGV, Automotive
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.

Ground-truth references for DIDLM
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 GNSS / INS wheeltec GPS/INS · DETA100R Not reported 200 Hz 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.
External
Accuracy notes
No validated trajectory accuracy is established; Table II GPS specification is 1 m.
Reference notes
GPS and 9-axis IMU are fused internally with UKF. Original GPS/INS and TUM xyz/quaternion products share one reference provenance. Rate describes GPS/INS output; converted TUM cadence is not separately given. Reference IMU 400 Hz hardware specification is not an independent released input IMU.

Calibration and synchronization

Reported calibration level, reproducibility signals, and supporting notes.

Level
Parameters Only
Processed parameters
Available
Raw calibration data
Not reported
Calibration targets
Checkerboards, including an electrified metal board for infrared

Parameters only

Processed calibration parameters are reported, but raw calibration data is not reported.

Notes

Intrinsics cover optical sensors and IMU; extrinsics use LiDAR as reference. Camera/IMU uses Kalibr and VINS-Mono refinement; radar/LiDAR uses targetless ICP. Calibration errors are not trajectory-reference accuracy.

Known or intentional limitations

Reported constraints and characteristics to check before using the dataset.

Camera quality varies by sequence with low light, vibration, rain and snow; consult the published image-quality list.

Aggregate distance and duration in Table IV disagree with sums of its rows.

Cameras

oak-d

Model
OAK-D
Setup
Multi Camera
Count
1
Effective cameras
1
Modality
Rgbd
Resolution
Not reported
Rate
30 Hz
Shutter
Not Reported
Lens type
Not Reported
HFOV
Not reported
VFOV
Not reported
Notes
One OAK-D system provides RGB, left/right images, depth and point clouds. Table II: RGB Luxonis IMX378 1920x1080; stereo OV9282 640x400, baseline 0.1136 m. Resolution varies by channel; depth is not independent ground truth.

infrared

Model
InfiRay AT20
Setup
Mono
Count
1
Effective cameras
1
Modality
Thermal
Resolution
1024 x 768
Rate
25 Hz
Shutter
Not Reported
Lens type
Not Reported
HFOV
Not reported
VFOV
Not reported
Notes
Thermal camera uses an electrified metal checkerboard for calibration.

IMUs

Livox-integrated IMU

Model
BMI088
Count
1
Accel / gyro
Not reported

GNSS

Not reported

LiDAR

Livox Horizon

Model or name
Livox Horizon
Count
1
Dimensions
3
Rate
10 Hz
Channels
Not reported
Range
Not reported

Radar

Continental ARS548

Count
Not reported
Released data
Point detections / point clouds
Frame rate
20 Hz
Doppler velocity
Not reported
Elevation angle
Not reported
Configured range
Not reported
Field of view
Not reported
File format
PCD
Notes
Table III also lists detectionlist and objectList topics. Table II device range/FOV specifications are not treated as configured release limits or proof of released Doppler channels.

Pitot tube

Not reported

Additional sensors

Not reported

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
Not reported

BibTeX

Not reported

Dataset corrections

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