ODD coverage map
Geo, weather, road class, and time-of-day targets tied to your safety narrative instead of open-ended collection.
Hardware Form / AI training data / Autonomous systems
ADAS · perception · sensor fusion
Autonomous systems training data
Perception debt shows up as phantom braking, missed vulnerable road users, or map drift, not in lab mAP slides. Datasets should mirror the sensor suites, geographies, and ODDs you claim in safety cases.
Autonomous systems training data collection produces labeled multisensor recordings: objects, lanes, occupancy, and behavior, with geographic and weather coverage, consent where faces or plates appear, and QA suited to safety-critical perception and prediction models.
Match data to operational design domain
ADAS teams and robotaxi programs both need explicit coverage matrices. A generic object-detection set does not replace logging in your target markets with your camera-LiDAR extrinsics and rolling shutter behavior.
| Layer | Labels | Risk if skipped |
|---|---|---|
| 2D detection | Boxes, attributes | Scale errors at long range |
| 3D fusion | Cuboids, point-wise class | Phantom objects in rain |
| Lane / path | Polylines, topology | Construction-zone failures |
| Behavior | Intent, cut-in tags | Prediction lag in highway merge |
We integrate capture with compute and sensor programs on AI hardware you build so thermal, sync, and storage are designed together.
Multisensor sync
Calibration-aware pipelines for camera, LiDAR, radar with consistent timestamps and pose.
3D & 4D labeling
Sequence consistency checks, inter-frame cuboid stability, and tiered QA for safety-critical classes.
Privacy sanitize
Face and plate blur, geofencing, retention limits, and export controls where applicable.
Autonomous training data FAQ
How is ADAS data different from full autonomy data?
ADAS ODDs are narrower but still need hard-negative highway scenarios and sensor-specific noise. Label taxonomies and eval splits should match the features you ship, not a generic urban set.
Can you label in customer VPC?
Yes. Many programs keep raw logs inside your cloud with annotator access via controlled tooling and no permanent export of raw video.
Do you replace safety validation?
No. We supply governed training and eval data. Homologation, simulation, and on-road validation stay with your program and your safety team.