UGV
JackRabbot Dataset and Benchmark (JRDB)
2D and 3D person detection and tracking
Egocentric multimodal robot recordings in indoor and outdoor campus human environments, with pedestrian boxes and time-consistent tracks.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- UGV
- Environment
- Indoor, Outdoor
- Data origin
- Real-world
- Sensor count
- 12
- 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.
| Scope | Method | Reference system | Count | Rate | Coverage |
Reference provenance
|
|---|---|---|---|---|---|---|
| 3D position + heading | Manual annotation | Not reported | Not reported | 15 Hz | Partial · Public Annotations for Train-Validation Sequences in This Manuscript Version |
Reference provenance
Derived
|
|
||||||
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
The appendix directory tree includes cameras.yaml and defaults.yaml under calibration.
Known or intentional limitations
Reported constraints and characteristics to check before using the dataset.
occlusion
dynamic_objects
Cameras
occam-raw
- Model
- Not reported
- Setup
- Stereo
- Count
- 1
- Effective cameras
- 2
- Modality
- Rgb
- Resolution
- 752 x 480
- Rate
- 15 Hz
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- Occam cylindrical stereo suite has two rows of five raw cameras. Each row forms a derived 360-degree panorama; only the upper row and its panorama are annotated. One physical stereo suite is counted; derived stitched products add no sensor systems.
ricoh-theta
- Model
- Ricoh Theta
- Setup
- Fisheye
- Count
- 1
- Effective cameras
- 1
- Modality
- Rgb
- Resolution
- 1280 x 720
- Rate
- 15 Hz
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- The source describes a 360-degree fisheye RGB camera without establishing a Theta generation.
zed-rgbd
- Model
- ZED
- Setup
- Rgbd
- Count
- 1
- Effective cameras
- 2
- Modality
- Rgbd
- Resolution
- 672 x 376
- Rate
- Not reported
- Shutter
- Not Reported
- Lens type
- Not Reported
- HFOV
- Not reported
- VFOV
- Not reported
- Notes
- Sensor setup reports 15 fps, whereas captured-data section reports 30 fps. Rate remains unresolved.
IMUs
JackRabbot IMU
- Model
- Not reported
- Count
- 1
- Accel / gyro
- Not reported
GNSS
LiDAR
Velodyne 16 Puck LITE
- Model or name
- Velodyne 16 Puck LITE
- Count
- 2
- Dimensions
- 3
- Rate
- Not reported
- Channels
- 16
- Range
- Not reported
SICK LMS500-20000
- Model or name
- SICK LMS500-20000
- Count
- 2
- Dimensions
- 2
- Rate
- 25 Hz
- Channels
- 1
- Range
- Not reported
Radar
Pitot tube
Additional sensors
Wheel encoder
- Name
- Active wheel position encoders
- Count
- 2
- Notes
- Encoder values from the robot wheels are included; these are not an external reference trajectory.
Other sensor
- Name
- Arm and head position encoders
- Count
- 1
- Notes
- Position readings cover arm joints and fingers and the head pan-tilt motors; no physical encoder total is proposed.
Other sensor
- Name
- Digital microphone
- Count
- 1
- Notes
- Audio is included among the sensor signals in the dataset.
Annotations
Reported annotation availability and task support.
- Availability
- Available
- Format
- json
- Class count
- 1
Citation
Citation key and BibTeX kept at the end of the page for reference.
@misc{martinmartin2021jrdb,
title={JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments},
author={Roberto Mart\'in-Mart\'in and Mihir Patel and Hamid Rezatofighi and Abhijeet Shenoi and JunYoung Gwak and Eric Frankel and Amir Sadeghian and Silvio Savarese},
year={2021},
eprint={1910.11792},
archivePrefix={arXiv},
primaryClass={cs.CV},
note={Version 4, 24 April 2021},
url={https://arxiv.org/abs/1910.11792v4}
}
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