Event-Based Light Signal Extraction Under Dynamic Motion
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Solution Overview
Problem
Existing Event-based Vision Sensors (EVS) struggle to correctly extract information from artificial light sources when the positional relationship between the light source and the photoelectric conversion element changes dynamically, such as when the light source or the EVS moves at high speed.
Innovation Solution
An information processing device with multiple photoelectric conversion elements, an event detection unit, an event group extraction unit, and a representative event extraction unit, which extracts and decodes information using time and spatial differences between events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the light source or EVS moves at high speed, then the imaging speed and responsiveness are improved, but the positional relationship between the light source and photoelectric conversion element changes dynamically, causing information extraction accuracy to deteriorate
Solution Approach 1:
The patent applies dynamics by making the photoelectric conversion element array movable to dynamically track and follow the light source position. The array can change its spatial configuration in real-time to maintain optimal reception of light signals even when either the light source or sensor is moving at high speed, thus preserving measurement accuracy while enabling high-speed imaging
Solution Approach 2:
The patent introduces a position detection unit and control unit as intermediaries between the light source and photoelectric conversion elements. These intermediaries detect the light source position and coordinate the movement of photoelectric conversion elements to maintain proper alignment, enabling accurate information extraction during high-speed motion
2Reliability
If multiple photoelectric conversion elements are used to track moving light sources, then information extraction reliability is improved, but the device complexity increases
Solution Approach 1:
The patent segments the photoelectric conversion function across multiple independent elements that can be selectively activated. Instead of using one complex continuously-variable sensor, it employs multiple discrete photoelectric conversion elements that can be independently controlled to track the light source, simplifying the overall system architecture while maintaining reliability
Solution Approach 2:
The patent makes the photoelectric conversion element array multi-functional by enabling it to both detect light signals and physically move to track the light source. This universal design allows the same component to perform multiple functions (detection and tracking), reducing the need for separate specialized components and thereby reducing overall device complexity
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
Enables accurate extraction and decoding of information from light sources despite dynamic positional changes, ensuring reliable data acquisition.
Implementation Method 1
a plurality of photoelectric conversion elements that each photoelectrically convert incident light and generate an electrical signal
Data Source
AI summary
[Problem] Even when a positional relationship between a light source and a photoelectric conversion element dynamically changes, information from the light source is correctly extracted.[Solution] An information processing device includes: a plurality of photoelectric conversion elements that each photoelectrically convert incident light and generate an electrical signal; an event detection unit that detects an event that occurs based on a change amount of the electrical signal of each of the plurality of photoelectric conversion elements; an event group extraction unit that extracts an event group including a plurality of the temporally and spatially close events based on the event detected within a predetermined time range; and a representative event extraction unit that extracts a representative event representing the plurality of events included in the event group.