Oval-Scanning Bathymetric LiDAR Internal Error Calibration
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Solution Overview
Problem
Current airborne lidar calibration methods primarily focus on systematic boresight misalignment errors, neglecting the calibration of internal errors, particularly for oval scanning airborne bathymetric lidar, which are essential for improving measurement accuracy.
Innovation Solution
A method and apparatus for calibrating internal errors of oval scanning airborne bathymetric lidar by installing the lidar on a tripod, using a prism-free total station, and sequentially calibrating laser ranging, collimation axis, and rotation angle errors through least-squares indirect adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flight dynamic calibration is used to correct boresight misalignment error, then systematic errors between laser scanning system and inertial platform are reduced, but internal errors within the laser scanning system itself cannot be eliminated
Solution Approach 1:
The patent segments the calibration process into two distinct parts: flight dynamic calibration for boresight misalignment error and a new pre-flight calibration method for internal errors. By dividing the calibration into separate stages with different methods, each type of error can be addressed appropriately without mixing calibration objectives, thus resolving the contradiction between comprehensive error correction and calibration complexity.
Solution Approach 2:
The patent introduces a pre-flight calibration procedure that must be performed before the actual flight measurement. This preliminary action calibrates the internal errors of the laser scanning system using a controlled laboratory environment with known reference targets, ensuring that internal errors are eliminated before field deployment, thereby improving overall measurement accuracy without relying solely on complex flight dynamic calibration.
2Measurement precision
If existing calibration methods focus on boresight misalignment error, then coordinate system alignment is improved, but internal errors such as ranging error and structural error remain uncalibrated
Solution Approach 1:
The patent introduces a prism-free total station as an intermediary measurement device that works in conjunction with the airborne lidar system during calibration. This intermediary device provides highly accurate independent measurements of the same targets, enabling the detection and calibration of internal errors including ranging errors and structural errors that would otherwise be invisible to the lidar system itself.
Solution Approach 2:
The patent replaces traditional prism-based total station measurement with a prism-free total station that uses reflective properties of targets. This substitution allows for more flexible and accurate measurement of multiple targets without requiring physical prisms to be attached, enabling better characterization of the lidar system's internal errors while maintaining coordinate alignment calibration.
3Measurement precision
If internal error calibration is performed step by step for oval scanning lidar, then calibration accuracy is improved, but calibration process complexity increases
Solution Approach 1:
The patent segments the internal error calibration into three distinct sequential steps: laser ranging error calibration, collimation axis error calibration, and rotation angle error calibration. Each step focuses on a specific type of internal error using targeted measurements and calculations, which improves calibration accuracy by addressing each error source methodically rather than attempting to correct all errors simultaneously.
Solution Approach 2:
The patent performs preliminary measurements and data collection during the calibration setup phase, including capturing laser footprint positions and corresponding total station measurements for multiple targets. This preliminary action prepares all necessary data in advance, allowing the actual calibration calculations to proceed efficiently through the three sequential steps without requiring additional field time during the calibration execution phase.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method effectively reduces interference and calibrates internal errors, enhancing the accuracy of laser three-dimensional point cloud data by correcting systematic errors and improving instrument quality assessment.
Implementation Method 1
Airborne laser bathymetry is an advanced shallow water measurement technology which integrates a laser scanning system... By emitting blue-green band laser pulses and receiving echo signals
Implementation Method 2
By emitting blue-green band laser pulses and receiving echo signals, this technology enables full three-dimensional coverage and high-resolution measurement
Implementation Method 3
installing a prism-free total station on the tripod and leveling the prism-free total station... measuring an observed distance value from the center of the lidar mirror to a laser footprint of the wall surface by the prism-free total station
Data Source
AI summary
A method and apparatus for calibrating an internal error of an oval scanning airborne bathymetric lidar step by step are provided. By calibrating a laser ranging error, a collimation axis error and a rotation angle error of a driving motor step by step, the complexity of error calibration is reduced, the influence of multi-factor interference on overall calibration accuracy is avoided, and an internal error value of a lidar can be effectively calibrated. The error value can be used to assess quality of an instrument in the stage of instrument processing and assembly, and to correct a system error in a subsequent calculation to avoid the decline of accuracy caused by the error of own measurement data of the lidar, thereby improving acquisition accuracy of laser three-dimensional point cloud data.


