Lidar Sensor Calibration Using Fixed Reference Surface

The patent applies preliminary action by performing calibration measurements before actual distance measurements. A reference surface is positioned at a known distance from the LIDAR sensor, and calibration data is collected by measuring the time of flight to this reference surface under controlled conditions. This preliminary calibration establishes baseline component latency values that are then used to correct subsequent measurements, improving accuracy without adding complexity to the core measurement function.

The patent uses an intermediary reference surface as a mediator between the LIDAR sensor and the actual measurement target. This reference surface, positioned at a precisely known distance, serves as an intermediate calibration target that allows the system to characterize component latency and environmental effects. The known distance to the reference surface acts as a reference standard that mediates the calibration process, enabling accurate correction of subsequent measurements without requiring direct access to the final measurement target during calibration.

The patent implements self-service by enabling the LIDAR system to perform its own calibration using内置 components and a simple reference surface. The system automatically measures component latency by comparing the known distance to the reference surface with the measured time of flight, and then uses this self-determined calibration data to correct subsequent measurements. This self-calibration capability eliminates the need for external calibration equipment or complex manual calibration procedures, improving measurement precision while minimizing the increase in device complexity.

The patent applies parameter changes by systematically varying and measuring key parameters such as time of flight, temperature, and humidity during calibration. By measuring how these parameters affect the time of flight to the reference surface, the system establishes correction factors that account for environmental changes and component performance characteristics. This approach allows the system to adapt to changing conditions and maintain high measurement precision without requiring complex real-time monitoring and adjustment mechanisms.