LiDAR Reflectivity Measurement Accuracy via Standard Target Plate
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Solution Overview
Problem
There is no unified method for measuring the reflectivity performance parameter of LiDARs, which is crucial for evaluating their detection capability, especially in applications like autonomous driving.
Innovation Solution
A detection method for LiDARs that involves performing a reflection receiving operation to determine multiple echo signals and reflectivity measurement values from a target plate with a predetermined reflectivity standard, allowing for the calculation of reflectivity accuracy and precision of the LiDAR channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If no unified measurement method is established, then LiDAR manufacturers can mark ranging capabilities freely, but the accuracy and reliability of reflectivity performance evaluation deteriorates
Solution Approach 1:
A standard reflectivity target plate serves as an intermediary object with known, calibrated reflectivity properties. This target plate enables consistent and accurate measurement of LiDAR reflectivity performance by providing a reference standard that mediates between the LiDAR system and the measurement process, ensuring uniform evaluation across different manufacturers and devices
Solution Approach 2:
The measurement method systematically varies key parameters including target plate reflectivity values (different reflectivity standards), measurement distances (e.g., 10m, 50m, 100m), and incident angles. By changing these parameters in a controlled manner, the method comprehensively evaluates LiDAR performance under different conditions while maintaining measurement accuracy
2Reliability
If multiple parameters are measured to evaluate detection capability, then the comprehensiveness of evaluation improves, but the measurement time and operational complexity increase
Solution Approach 1:
The measurement process employs periodic scanning where the LiDAR systematically scans across the target plate at different positions and angles. This periodic measurement approach efficiently collects multiple data points (reflectivity values at different locations, distances, and angles) in a structured sequence, improving evaluation comprehensiveness while managing measurement time through systematic sampling
Solution Approach 2:
Measurement parameters such as target plate positions, scanning angles, and distances are pre-planned and configured before actual measurement begins. This preliminary setup includes defining the measurement matrix (combinations of distances, angles, and target plates) in advance, which streamlines the measurement process and reduces operational complexity during execution
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 improves the accuracy of evaluating the reflectivity performance of LiDARs by determining the consistency of reflectivity measurements across channels and the overall measurement accuracy of the LiDAR system, applicable to various types of LiDARs.
Implementation Method 1
The LiDAR emits an optical signal by a laser
Implementation Method 2
receives an echo signal reflected by a target object
Implementation Method 3
receives an echo signal reflected by a target object by a detector and converts the echo signal into an electrical signal
Implementation Method 4
calculates time of flight (ToF) of a signal based on transmitting time of the optical signal and receiving time of the echo signal
Data Source
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AI summary
A detection method for a LiDAR and a detection system thereof, and a LiDAR are provided. The detection method includes: performing a reflection receiving operation to enable a detector of a channel to be detected to receive multiple echo signals reflected by a target plate, to receive multiple reflectivity measurement values of the channel to be detected for the target plate determined by the LiDAR, where the channel to be detected is a detection channel of the LiDAR; and determining a reflectivity parameter of the channel to be detected based on a result of the reflection receiving operation, where the reflectivity parameter of the channel to be detected includes: at least one of reflectivity accuracy of the channel to be detected or reflectivity precision of the channel to be detected. The detection method can determine consistency of reflectivity measurement of respective channels of the LiDAR and reflectivity measurement accuracy of an entire LiDAR system. The detection method is applicable to any type of LiDAR, to improve accuracy of evaluating reflectivity performance of the LiDAR.