Distance Measuring Device Tensor Noise Filtering
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Solution Overview
Problem
In time-resolved measurement, noise output from light receiving elements can superimpose on effective signals, leading to deteriorated measurement accuracy in distance measuring devices.
Innovation Solution
A distance measuring device is designed with a pixel region and a processing circuit that performs tensor calculations on multi-dimensional tensors to differentiate true detection signals from noise, improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tensor calculation is performed on multi-dimensional tensors to differentiate true detection signals from noise, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies tensor calculation on multi-dimensional tensors (including time axis and signal intensity axis) to differentiate true detection signals from noise. This dimensional expansion allows the system to analyze detection signals from multiple perspectives simultaneously, improving measurement precision by identifying patterns that single-dimensional analysis would miss.
Solution Approach 2:
The processing circuit acts as an intermediary between the pixel region and the distance measurement output. It performs tensor calculations on detection signals to filter noise and extract true signals before generating final distance information, thereby mediating the transformation from raw noisy data to precise measurements.
2Measurement precision
If multiple distance measuring periods are used to perform tensor calculation, then measurement precision is improved, but measurement time increases
Solution Approach 1:
The system performs multiple distance measuring periods in sequence, collecting detection signals over time. By using periodic measurement cycles and applying tensor calculation across these periods, the system accumulates sufficient data to differentiate true signals from noise while maintaining efficient measurement throughput.
Solution Approach 2:
The processing circuit performs preliminary tensor calculation on detection signals from multiple measuring periods before final distance calculation. This preliminary processing prepares the data by filtering and organizing signals, enabling faster and more accurate final distance computation.
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 proposed solution enhances the accuracy of time-resolved measurements by effectively filtering out noise and identifying true detection signals, leading to improved distance measurement precision.
Implementation Method 1
a pixel region including a plurality of pixels... detection of the light reflected on an object by the pixel region
Implementation Method 2
emission of light by a light source to detection of the light reflected on an object
Data Source
AI summary
A distance measuring device is provided. The device includes a pixel region and a processor for generating distance information based on a signal output from the pixel region. A sequence of generating the distance information includes distance measuring periods each for measuring a time from emission of light to detection of the light reflected on an object by the pixel region. The processor performs tensor calculation on a tensor of two or more dimensions including a first time axis indicating a time at which a distance measuring operation in each distance measuring period is performed, and the tensor calculation is performed to obtain a calculation result indicating that each detection signal indicating that light is detected is a true detection signal when there is a signal indicating that another ray of light is detected within a predetermined range of the tensor from the detection signal.