Autonomous Vehicle Data Collection

Autonomous vehicle data collection captures the on-road and closed-course driving data AV stacks need, multimodal sensor logs, weather and lighting tails, and intervention episodes, with sensor parity to production vehicles and rigorous geospatial and consent metadata. Operant scopes capture around your sensor rig and evaluation goals, with documented consent for public-road work where applicable. The result is AV data that stresses the conditions where policies actually fail.

Sensor parity and ground truth

AV data is only useful if the capture rig matches the production vehicle's sensors. We design for parity, calibrated multi-camera, LiDAR, IMU, and radar where relevant, time-aligned through our multi-sensor synchronization service, with ground-truth and geospatial metadata.

Weather and light tails

Rain, fog, glare, and low light are where perception degrades. We capture these tails deliberately, illustrated by AV rain LiDAR and camera capture, so evaluation reflects adverse conditions rather than clear-day driving.

Intervention and safety capture

Disengagements and interventions are high-value, rare episodes. We capture them through edge-case data collection and label them for policy evaluation, under safety protocols agreed up front.

Consent and compliance

Public-road capture involves people and places. We follow your policies and applicable regulations, with consent workflows and data minimization, see our privacy and consent on-site approach, agreed before capture starts.

FAQ

Do you match our production sensor rig? Yes, sensor parity is a core scoping requirement.

Can you capture adverse weather and interventions? Yes, these tail conditions are explicit capture targets.

This vertical is part of Operant's broader robotics data collection practice.