LiDAR Signal Saturation Correction via Floodlight Data Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In fixed-gain LiDAR systems, signal saturation occurs when a laser is directly irradiated on a target object with high reflectivity, leading to inaccurate measurement results due to the inability to adjust gains or emitting power, resulting in a large deviation between measured and actual distances.
Innovation Solution
A radar data processing method that determines saturation depth and performs data fusion processing using floodlight distance values to obtain a fusion result, allowing for accurate distance determination of a target object by adjusting for the number of floodlights and their corresponding distance values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed-gain LiDAR system uses a laser to directly irradiate a target object with high reflectivity, then the receiving signal strength is high, but the signal becomes saturated and the actual echo waveform cannot be restored
Solution Approach 1:
The patent applies dynamics by making the gain adjustable rather than fixed. The system dynamically adjusts the gain of the receiving signal based on detection results, allowing the fixed-gain LiDAR to adapt to different reflectivity conditions and avoid saturation while maintaining reliable signal reception.
Solution Approach 2:
The patent changes the gain parameter of the receiving signal dynamically. By adjusting the gain parameter based on detected target reflectivity, the system prevents signal saturation for high-reflectivity targets while maintaining sensitivity for low-reflectivity targets, thereby resolving the contradiction between reliable reception and precise measurement.
2Measurement precision
If the gain of the receiving signal is adjusted to prevent saturation, then the measurement precision improves, but the device complexity increases due to additional control circuits
Solution Approach 1:
The patent implements self-service by enabling the LiDAR system to automatically adjust its own gain parameter based on detected signal characteristics. The system uses its own detection results to control its own operating parameters, eliminating the need for external complex control circuits while improving measurement precision.
Solution Approach 2:
The patent applies feedback by using the detected echo signal characteristics to adjust the gain parameter for subsequent measurements. This closed-loop feedback mechanism allows the system to automatically adapt to different target reflectivities, improving precision without requiring complex external control circuits.
3Measurement precision
If the emitting power of the emitting diode is adjusted to prevent saturation, then the measurement precision improves, but the device complexity increases due to additional control mechanisms
Solution Approach 1:
The patent makes the emitting power dynamic by allowing adjustment of the emitting diode's power output based on detected target reflectivity. This dynamic power adjustment prevents saturation for high-reflectivity targets while maintaining adequate signal strength for low-reflectivity targets, improving precision without requiring complex power control mechanisms.
Solution Approach 2:
The patent changes the emitting power parameter dynamically based on detection results. By adjusting the emitting power parameter in response to target reflectivity, the system prevents signal saturation and improves measurement precision without introducing complex power control mechanisms.
4Measurement precision
If data fusion processing is performed based on floodlight distance values, then the measurement accuracy improves for saturated signals, but the processing time increases
Solution Approach 1:
The patent applies partial action by performing data fusion processing only when signal saturation is detected, rather than for all measurements. This selective approach maintains high measurement precision for saturated signals while minimizing additional processing time for non-saturated signals, resolving the contradiction between accuracy and processing speed.
Data Source
AI summary
This application provides a radar data processing method, a terminal device, and a computer-readable storage medium. The method includes: obtaining radar data collected by a receiving area array; in response to the radar data being saturated, performing data fusion processing based on a floodlight distance value to obtain a fusion result; determining a distance value of a target object based on the fusion result; and correcting the distance value of the target object based on a distance between a flooding unit and the target object and a distance between a receiving unit and the target object.