Automotive
COMAP
Collective multi-agent perception
Synthetic cooperative driving perception in CARLA Town05 using CARLA-SUMO co-simulation and annotated point clouds.
Access links
Primary places to inspect, download, read about, or reproduce the dataset.
Quick facts
- Vehicle type
- Automotive
- Environment
- Not reported
- Data origin
- Simulation
- 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.
Synthetic data are not transferred to the real domain.
Vehicle localization errors are not considered in the paper experiments.
Cameras
Not reported
IMUs
Not reported
GNSS
Not reported
LiDAR
LiDAR 1
- Model or name
- LiDAR 1
- Count
- 1
- Dimensions
- 3
- Rate
- Not reported
- Channels
- 32
- Range
- Not reported
Radar
Not reported
Pitot tube
Not reported
Additional sensors
Not reported
Annotations
Reported annotation availability and task support.
- Availability
- Available
- Format
- Not reported
- Class count
- Not reported
Semantic segmentation
Available
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.
Not reported
Dataset corrections
Notice a specific issue after reviewing the page?
Report an inaccuracy