Other
Hull Drone Indoor Navigation (HDIN)
Indoor visual navigation
RGB corridor sequences with steering regression and binary collision labels, recorded using a Parrot AR.Drone 2.0 carried on a trolley in three university buildings.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- Other
- Environment
- Indoor
- 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 reportedKnown or intentional limitations
Reported constraints and characteristics to check before using the dataset.
Recorded with UAV carried on a trolley at a 0.7 m plate height, rather than in flight.
Initial corridors are sufficiently illuminated and free of obstacles; collision examples separately approach front obstacles.
Limited corridor background diversity and planar forward/yaw task labels.
Steering scaling factors require conversion to control commands; strict [-1,1] bounds are not assumed.
Cameras
front_rgb
- Model
- Not reported
- Setup
- Mono
- Count
- 1
- Effective cameras
- 1
- Modality
- Rgb
- Resolution
- Not reported
- Rate
- 30 Hz
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- Front camera on Parrot AR.Drone 2.0; hardware described as 720p with 92-degree wide-angle lens, without axis-specific FOV or released image dimensions.
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
- Text files for steering values and binary collision labels
- 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.
@article{chang2022hdin,
author = {Chang, Yingxiu and Cheng, Yongqiang and Murray, John and Huang, Shi and Shi, Guangyi},
title = {The HDIN Dataset: A Real-World Indoor UAV Dataset with Multi-Task Labels for Visual-Based Navigation},
journal = {Drones},
year = {2022},
volume = {6},
pages = {202},
doi = {10.3390/drones6080202}
}
Dataset corrections
Notice a specific issue after reviewing the page?
Report an inaccuracy