Stereo Camera Calibration Using Temperature Predictive Models

The patent applies parameter changes by deriving temperature-dependent camera functions that model how optical characteristics (focal length, optical center, distortion) vary with temperature. These functions use temperature as an input parameter to predict and compensate for optical changes, allowing the system to maintain measurement precision across different temperature conditions through mathematical modeling rather than physical adjustment.

The patent implements feedback by using a reference camera to measure actual optical characteristics at different temperatures, then using these measurements to refine and update the camera functions. This closed-loop approach continuously improves the accuracy of temperature compensation by comparing predicted versus actual optical behavior and adjusting the models accordingly.

The patent applies preliminary action by performing comprehensive multi-temperature calibration once during manufacturing or initial setup to establish accurate camera functions. These pre-derived functions are then stored and reused for ongoing operation, eliminating the need for repeated time-consuming calibrations. The reference camera measurements taken across multiple temperatures during this initial phase create a reusable model that maintains reliability without requiring subsequent calibration time.

The patent uses copying by creating a reference camera function that captures the temperature-dependent optical characteristics. This reference function is then copied and applied to other cameras of the same model, allowing multiple subject cameras to benefit from the calibration work done on a single reference camera. This approach significantly reduces calibration time for production while maintaining consistent accuracy across batches.