Ranging Sensor Bin Segmentation for Distance Resolution and Memory
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Solution Overview
Problem
Existing ranging devices require significant storage area for frequency distribution data, which is not efficiently managed, especially when different distance resolutions and pixel modes are used.
Innovation Solution
A ranging device is designed with a light receiving unit, time counting unit, and frequency distribution storage unit that divides photoelectric conversion elements into regions with different bin class widths and storage conditions, optimizing storage capacity by adjusting the number of bins and pixels in each region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a uniform bin class width is used for all photoelectric conversion elements, then the device complexity is reduced, but the storage area cannot be optimized for different distance resolution needs
Solution Approach 1:
The pixel array is divided into multiple regions, with each region having its own frequency distribution storage area and bin class width configuration. This segmentation allows independent optimization of storage parameters for different spatial zones, reducing overall storage requirements while maintaining measurement precision where needed.
Solution Approach 2:
Different bin class widths are assigned to different regions based on their specific measurement requirements. Regions requiring higher distance resolution use narrower bin class widths, while regions with lower requirements use wider bins, optimizing storage efficiency without compromising critical measurement quality.
2Quantity of substance
If the bin period is widened to reduce the number of bins, then the storage area is reduced, but the distance measurement precision deteriorates
Solution Approach 1:
The system dynamically adjusts bin class widths based on distance ranges. For near-distance measurements, narrower bins provide high precision, while for far-distance measurements, wider bins are used to reduce storage requirements. This dynamic adaptation resolves the contradiction between precision and storage efficiency.
Solution Approach 2:
The bin class width parameter is changed according to the distance range being measured. By varying this parameter across different regions and distance ranges, the system achieves both high precision where needed and reduced storage requirements where lower precision is acceptable.
3Measurement precision
If high distance resolution is maintained across all regions, then measurement precision is improved, but the storage area increases significantly
Solution Approach 1:
The pixel array is divided into multiple regions, with each region having its own frequency distribution storage area and bin class width configuration. This segmentation allows independent optimization of storage parameters for different spatial zones, reducing overall storage requirements while maintaining measurement precision where needed.
Solution Approach 2:
Different bin class widths are assigned to different regions based on their specific measurement requirements. Regions requiring higher distance resolution use narrower bin class widths, while regions with lower requirements use wider bins, optimizing storage efficiency without compromising critical measurement quality.
4Measurement precision
If the number of bins is increased to improve distance resolution, then measurement precision is improved, but the storage area increases
Solution Approach 1:
The bin class width parameter is changed according to the distance range being measured. By varying this parameter across different regions and distance ranges, the system achieves both high precision where needed and reduced storage requirements where lower precision is acceptable.
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 reduces the storage area required for frequency distributions while maintaining accurate distance measurement capabilities, even in the presence of ambient light, by dynamically adjusting bin sizes and pixel configurations based on distance resolution needs.
Implementation Method 1
a light receiving unit configured to generate a light reception count value corresponding to each of a plurality of photoelectric conversion elements by counting pulses based on incident light
Data Source
AI summary
A ranging device including: a frequency distribution storage unit that stores a frequency distribution of the number of pulses detected in each predetermined bin period in time counting for each photoelectric conversion element; a region setting unit that sets a first region in which a part of the photoelectric conversion elements is arranged and a second region in which another part of the photoelectric conversion elements is arranged; and a storage condition setting unit that sets a storage condition of frequency distributions so that a class width of a first bin in a first frequency distribution corresponding to a photoelectric conversion element of the first region and a class width of a second bin in a second frequency distribution corresponding to a photoelectric conversion element of the second region are different and so that a storage capacity for the first and second frequency distributions does not exceed a predetermined value.