LiDAR Distance Calculation Using Reference Signal Correction

The controller is segmented into specialized sub-components: a correction signal calculator unit and a distance offset calculator unit. This segmentation allows each unit to handle specific calculation tasks independently, improving measurement precision through dedicated functionality while organizing complexity into manageable modular sections within the controller architecture.

The system performs preliminary reference measurements at predetermined positions before actual distance measurements. The correction signal calculator uses these preliminary reference signals to establish baseline characteristics and generate correction signals in advance. This preliminary action enables the system to compensate for signal variations during subsequent measurements, improving accuracy without requiring complex real-time processing.

The system implements periodic reference measurements at multiple predetermined positions around the scanner's rotation path. By distributing measurements periodically across different angular positions, the system captures comprehensive reference data for calculating accurate distance offsets. The periodic nature of scanner rotation naturally facilitates this approach, allowing the system to collect reference signals at regular intervals without requiring additional time beyond the normal scanning cycle.

The scanner's inherent rotation mechanism is utilized to automatically bring different predetermined positions into the measurement path during normal operation. The system leverages the scanner's own rotational movement to sequentially present multiple reference measurement positions without requiring separate positioning mechanisms or additional actuation. This self-service approach enables multi-position reference measurements to be integrated into the existing scanning operation, minimizing additional time requirements.

The correction signal calculator implements a feedback mechanism where reference signals measured at predetermined positions are continuously compared with actual measurement signals. The system calculates correction signals based on the difference between reference and actual signals, then applies these corrections to improve distance measurement reliability. This feedback loop enables the system to adapt to varying conditions and maintain accurate measurements without requiring overly complex processing algorithms.

The correction signal acts as an intermediary element between the raw detector signals and the final distance calculation. Rather than directly processing complex raw signals to determine distance, the system first generates correction signals from reference measurements, then applies these corrections as an intermediate step. This intermediary approach simplifies the overall processing by breaking down the complex task into manageable stages: reference measurement, correction signal generation, and corrected distance calculation.