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Let's explore if we can help accelerate your perception development and deployment.
Sensor-powered applications like SLAM and machine-learning pipelines are only as good as the sensor data they ingest. With proper multimodal calibration, you'll eliminate random errors and incorrect results so you can confidently exit R&D and enter production fast.
verifiable calibration values
proper training for ML pipelines
Accurate ground truth for slam
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Most sensor calibration tools can’t tell useful and useless sensor data apart. MetriCal's data quality checks tell you immediately if something is incorrect, saving hours of guesswork and confusion.
synchronize, filter, and process data before calibration
Get real guidance on sensor system improvements
save engineers days of guesswork and confusion
Proper sensor calibration can be used for root cause analysis to troubleshoot system-level errors and reveal what's wrong.
Validate Chassis Tolerances
Sensor calibration values can reveal when precision machined tolerances are no longer, well, precise.
Double Check Sensor Suppliers
When intrinsics start to drift from expected values, it's time to talk to your camera and lens suppliers about quality control.
Set Ground Truth Values to Track In-Field Failures
A tightly controlled production line calibration process with detailed metrics provides a foundation from which you can track sensor array performance and degradation in the field over time.