UGV

TiROD

Continual object detection

Low-resolution robot RGB frames with object bounding boxes across five indoor and outdoor domains, two illumination conditions, and synthetic weather variants.

Metadata: Complete Metadata needs review

Quick facts

Vehicle type
UGV
Environment
Indoor, Outdoor
Data origin
Real-world
Sensor count
1
Ground truth
Not reported
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.

Not reported

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.

Low-resolution noisy images with motion blur.

Random within-sequence splits retain some visual leakage; author analysis reports about 90 percent of validation/test images visually distinct from training.

Synthetic rain/fog supplement real captures; reported approximately 17.4k images have unresolved exact augmentation coverage.

Collection scale is limited and CL training/evaluation are offline.

Cameras

onboard-rgb

Model
Not reported
Setup
Mono
Count
1
Effective cameras
1
Modality
Rgb
Resolution
640 x 480
Rate
8 Hz
Shutter
Not Reported
Lens type
Not Reported
HFOV
Not reported
VFOV
Not reported
Notes
Approximately 8 FPS sampled video frames; built-in camera nominally 2.0 megapixels, while released images are 640x480. Synthetic rain/fog variants transform the recorded RGB images.

IMUs

Not reported

GNSS

Not reported

LiDAR

Not reported

Radar

Not reported

Pitot tube

Not reported

Additional sensors

Not reported

Annotations

Reported annotation availability and task support.

Availability
Available
Format
coco
Class count
13
Semantic segmentation Not reported
Instance segmentation Not reported
Object detection Available
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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