Long-Distance Scanning Laser Radar Error Correction
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Solution Overview
Problem
Long-distance scanning laser radars cannot be calibrated due to the unavailability of a long guide rail, and existing methods fail to accurately measure three-dimensional coordinate errors, which are crucial for measuring precision.
Innovation Solution
A method is developed to establish a three-dimensional coordinate model using one-dimensional distance and angle measurements, identify and analyze major error sources (distance, horizontal, and vertical angle measuring errors), and perform sub-parameter experiments to acquire sample data, analyze probability density distributions, and correct three-dimensional coordinate measurements in real time using a Monte Carlo method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a long guide rail is used to calibrate the laser radar, then the calibration accuracy can be improved, but the device complexity and manufacturing difficulty increase significantly due to the 1 km measuring range requirement
Solution Approach 1:
The patent uses a laser tracker to copy and transfer the coordinate information from the known control points to the measured points. Instead of requiring a physical 1 km guide rail structure, the laser tracker creates a virtual coordinate system that replicates the spatial relationships, enabling calibration without the complex physical infrastructure
Solution Approach 2:
The patent introduces control points as intermediary elements between the laser radar and the target objects. These control points with known coordinates serve as mediators that facilitate the calibration process, allowing the laser radar to be calibrated against known references without requiring a massive guide rail system
2Length of stationary object
If pulsed laser flight time method is used for long-distance measurement, then the measuring range can be extended to 1 km, but the distance-measuring error increases
Solution Approach 1:
The patent implements a feedback mechanism where the laser tracker measures the positions of control points and compares them against their known coordinates. The system uses this feedback information to calculate and correct distance-measuring errors, continuously improving accuracy across the 1 km range through iterative error compensation
Solution Approach 2:
The patent performs preliminary calibration measurements using the laser tracker to establish error characteristics before actual long-distance measurements. By pre-characterizing the distance-measuring errors at different ranges, the system can apply appropriate corrections during operation, improving accuracy without reducing the 1 km measuring range
3Measurement precision
If traditional calibration methods are used, then the distance-measuring error can be tested, but the three-dimensional coordinate measuring error cannot be obtained
Solution Approach 1:
The patent merges the calibration of multiple measurement parameters (distance, horizontal angle, vertical angle) into a unified three-dimensional coordinate error model. By simultaneously analyzing errors from all three measurement dimensions and their correlations, the system obtains complete three-dimensional coordinate measuring errors that include all error sources and their interactions
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
This method effectively corrects three-dimensional coordinate measuring errors, improving the accuracy and uncertainty evaluation of long-distance scanning laser radars by providing error correction samples and enhancing measuring precision.
Implementation Method 1
a long-distance laser distance-measuring technology is realized based on a principle of pulsed laser flight time
Data Source
AI summary
The present invention relates to a method for correcting measuring errors of a long-distance scanning laser radar, comprising: S1, establishing a measuring model and acquiring a positional relationship between a measured point and a coordinate origin; S2, acquiring an actual positional relationship between the measured point and a laser radar and establishing error models of three major error sources; S3, performing a sub-parameter measuring experiment on the laser radar to acquire major sample data of the three major error sources; S4, analyzing probability density distribution of the three major error sources with a statistical method to obtain error correction samples of the three major error sources in a three-dimensional coordinate system; S5, acquiring three-dimensional coordinate samples according to the error correction samples of the three major error sources and the measuring model; and S6, correcting a three-dimensional coordinate measuring point in real time.