TOF Distance Acquisition System Parallel Regional Processing
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Solution Overview
Problem
Current DTOF distance information acquisition systems face challenges in achieving high-resolution, high-speed, and miniaturized chip design due to large data processing requirements and low frame rates, which restrict their application in high-frame-rate scenarios.
Innovation Solution
A distance information acquisition system comprising a light source module with N groups of emission light, a receiving module, and a processing module, where the light source module emits N groups of emission light with timing correlations, and the processing module obtains distance information by converting electrical signals from the receiving module, allowing for high-resolution and high-speed data processing with reduced circuit complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple statistical results are processed for each pixel to achieve high accuracy, then measurement precision is improved, but device complexity and data processing requirements increase significantly
Solution Approach 1:
The patent divides the field of view into multiple regions, each served by a dedicated processing unit. This segmentation allows parallel processing of distance measurements for different spatial regions, reducing the computational burden on any single pixel while maintaining overall measurement accuracy through regional statistical processing.
Solution Approach 2:
The patent combines statistical results from multiple laser pulses at the regional level rather than processing each pixel independently with multiple statistical results. This merging approach aggregates data across spatial regions, reducing the number of separate processing channels needed while maintaining measurement precision through collective statistical analysis.
2Measurement precision
If multiple TDC modules are introduced for statistical processing, then measurement precision is improved, but chip size increases and miniaturization becomes difficult
Solution Approach 1:
The patent designs a universal processing module that can handle statistical processing for multiple regions using the same hardware resources. This multi-functional approach eliminates the need for dedicated TDC modules for each pixel or region, reducing chip area while maintaining measurement precision through shared statistical processing capabilities.
Solution Approach 2:
The patent transitions from processing each pixel independently in the spatial dimension to processing regional aggregates, effectively adding a regional aggregation dimension. This dimensional change allows statistical processing to occur at a coarser granularity, reducing the number of required TDC modules while maintaining overall measurement accuracy.
3Measurement precision
If high-resolution field of view is achieved through point array light source groups, then measurement precision is improved, but data amount increases and frame rate decreases
Solution Approach 1:
The patent segments the field of view into multiple regions, each processed by dedicated processing units that operate in parallel. This segmentation enables simultaneous processing of multiple regions, maintaining high-resolution measurement across the entire field of view while improving overall frame rate through parallel processing of regional data.
Solution Approach 2:
The patent performs preliminary statistical processing and data aggregation at the regional level before final distance calculation. This preliminary action reduces the amount of detailed data that needs to be processed in subsequent stages, enabling high-resolution field of view analysis while maintaining higher frame rates through reduced processing burden in later stages.
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 design enhances the system's ability to achieve high-resolution distance measurements at higher frame rates, addressing the limitations of miniaturization and integration while maintaining accuracy and reliability, thereby meeting the requirements of human eye standards for field of view resolution and frame rate.
Implementation Method 1
The principle of the TOF is described as follows: A light pulse is continuously emitted to an object, and a light returned from the object is received by a sensor, and the distance to the object is obtained by detecting the flight (round-trip) time of the light pulse.
Implementation Method 2
A light pulse is continuously emitted to an object, and a light returned from the object is received by a sensor
Implementation Method 3
The receiving module receives the returned light of N groups of emission light in the field of view and converts the returned light signal into electrical signal
Implementation Method 4
a receiving array module with the SPAD in the avalanche state receives the light pulse returned from the objects, wherein the detection unit in the avalanche state can receive the returned signal
Data Source
AI summary
A distance information acquisition system, comprising: a light source module, a receiving module, and a processing module. The light source module comprises N groups of emitted lights having timing correlations, where N is an integer greater than or equal to 3, and at least two groups of adjacent emitted lights comprise timing correlations in terms of emission timing. The receiving module acquires a signal of returning lights in a field of view of the N groups of emitted lights outputted by the light source module and converts into an electric signal. The processing module acquires distance information of a detected object in one complete field of view on the basis of the electric signal converted from the N groups of emitted lights.


