Camera to LiDAR
Extrinsic alignment between optical and point-cloud sensors for clean cross-modal projection.
Keep every sensor aligned.
The only patented self-calibrating multi-sensor calibration: camera, LiDAR, radar, and IMU locked to sub-pixel accuracy. Enterprise scale, no downtime, no drift.
<0.8px
RPE
reprojection error
Sub-1°
Angular
extrinsic rotation
Zero
Downtime
recalibrate in the field
Fleet
Ready
one rig to thousands
Calibrate your sensor stack, with zero downtime.
Drift is caught and corrected in the field. The fleet keeps running while it recalibrates, with no pulling vehicles back to a bay.
Fleet status over time
Conventional
pull the fleet
Fleet pulled
Pulled
Drift detected, recalibrated in the field
the fleet keeps running, no bay visit
Deepen
recalibrate in the field
Zero downtime
t0Time
Operating Pulled to a bay, offline Recalibrated in the field, still running
Many sensors, one frame of truth.
Every sensor solved into a single shared coordinate frame, and held there as the rig moves.
Camerasensor stream
LiDARsensor stream
Radarsensor stream
IMUsensor stream
Deepen Calibrate
Self-calibrating
Output
One aligned frame
< 0.8px RPE
Every pairing, one system.
One calibration engine covering every sensor pairing on the rig: cross-modal, registration, temporal, intrinsic, and targetless.
LiDAR to LiDAR
Multi-LiDAR registration for full 360° coverage with no seams or double surfaces.
IMU to LiDAR
Temporal and spatial alignment for motion-compensated, deskewed point clouds.
Radar to Camera
Cross-modal calibration for robust fusion in adverse weather and low light.
Stereo & intrinsic
Camera intrinsics, stereo pairs, and lens distortion solved to sub-pixel error.
Robots & Vehicles
Sensor-to-vehicle and non-overlapping setups, including targetless in-field recalibration.
Trusted by teams building Physical AI.
As perception systems become more complex, data integrity becomes critical. This collaboration helped ensure that calibration, localization, synchronization and sensor alignment challenges were addressed early, creating a stronger foundation for AI development.
Dr. Marcos Nieto Doncel
Director, Connected & Cooperative Automated Systems Department
Vicomtech
Frequently asked questions.
Which sensors does Calibrate align?+
Camera, LiDAR, radar, and IMU to one shared coordinate frame. Cross-modal pairings, multi-LiDAR registration, camera intrinsics and stereo, and sensor-to-vehicle and targetless setups, all in one system.
How accurate is the calibration?+
Every rig is solved to under 0.8px reprojection error and sub-1° angular error, scored against that bar before anything ships. We publish the standard so you can audit against it.
Does recalibration require downtime or targets?+
No. Capture can be target-based or fully targetless, and drift is caught and corrected in the field. The fleet keeps running while it recalibrates.
Can Calibrate scale from one rig to a full fleet?+
Yes. The same self-calibrating system runs from a single rig to thousands of vehicles, so calibration stays consistent as your program grows.
Lock in your verified data.
Calibrate every sensor to a standard you can audit.