LiDAR Spatio-Temporal Data Processing for Depth Accuracy
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Solution Overview
Problem
Current LiDAR data generation and processing software solutions are vulnerable to external noise and unable to effectively combine signals from multiple detectors, leading to inaccurate depth information and reduced accuracy in spatio-temporal data processing.
Innovation Solution
A method involving a LiDAR device with a detector array that processes data by combining counting values from adjacent detector units across different time bins to generate enhanced spatio-temporal data sets, allowing for improved distance information extraction and noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current LiDAR data processing software solutions are used, then processing speed is maintained, but measurement precision deteriorates due to vulnerability to external noise and inability to combine signals from multiple detectors
Solution Approach 1:
The patent combines counting values from multiple adjacent detector units across different time bins to generate enhanced depth information. This merging approach allows the system to aggregate signals from multiple detectors, improving measurement precision while the combined processing inherently filters external noise through spatial and temporal correlation analysis
2Measurement precision
If signals from multiple detectors are processed independently, then device complexity is reduced, but measurement precision deteriorates due to inability to utilize adjacent detector information
Solution Approach 1:
The patent introduces spatio-temporal processing by combining data across spatial dimensions (adjacent detector units) and temporal dimensions (multiple time bins). This dimensional approach enables the system to extract depth information from multiple sources simultaneously, improving precision while maintaining manageable complexity through structured data organization and processing algorithms
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 approach enhances the accuracy of depth information and spatio-temporal data processing by effectively utilizing signals from adjacent detectors, reducing noise interference and improving the precision of distance measurements.
Implementation Method 1
A LIDAR device is a sensor for measuring a distance from the LiDAR device to an object by using the time of flight (TOF) of a laser
Implementation Method 2
detectors, such as SPADs or APDs, have been used
Data Source
AI summary
Proposed is a method for processing, by one or more processors, data obtained on the basis of detection signals generated by a detector array including a plurality of detector units. The method includes generating, on the basis of the detection signals generated by the detector array, a spatio-temporal data set including a plurality of counting values, wherein each of the plurality of counting values corresponds to one of the plurality of detector units and is addressed to at least one time bin, and generating distance information including a plurality of distance values corresponding to each of the plurality of detector units by processing the spatio-temporal data set.