Dynamic Vision Sensor Intensity Image Acquisition
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Solution Overview
Problem
Dynamic vision sensors (DVS) primarily output event-based data representing changes in light intensity, lacking direct internal pixel state output, making it challenging to acquire intensity images effectively.
Innovation Solution
A system and method that includes a dynamic vision sensor with a photodiode circuit, current-to-voltage converter, reset, and integration circuits to form pixel intensity data by integrating events, providing intensity image outputs, and separating events for event-based outputs, allowing for the acquisition of intensity images through resetting pixel states and integrating event signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If event-based cameras output only asynchronous event data representing temporal changes, then dynamic response and temporal resolution are improved, but the ability to acquire intensity images directly is lost
Solution Approach 1:
The system performs preliminary resetting of pixel states at specific time points before integrating events, establishing a known reference state that enables subsequent intensity calculation from event streams without adding hardware components
2Duration of action of moving object
If DVS pixels integrate light internally without outputting the state, then pixel-level light integration is achieved, but external access to intensity information is prevented
Solution Approach 1:
The system uses feedback by resetting pixel states to predetermined values at controlled intervals, creating a reference that enables calculation of integrated light intensity from the accumulated events, thus providing indirect access to the internal integration state
3Loss of time
If the sensor provides only event-based output, then temporal precision is improved, but image intensity acquisition becomes challenging
Solution Approach 1:
The system applies periodic resetting of pixel states at defined time intervals, creating a structured temporal pattern that transforms the continuous event stream into measurable intensity data while preserving the high temporal precision of event-based detection
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 the acquisition of intensity images from DVS without additional circuits, achieving lower latency and providing both event-based and integrated image intensity data, leveraging the dynamic range of DVS sensors with minimal adjustments to the sensor.
Implementation Method 1
each pixel having a photodiode circuit
Data Source
AI summary
A method for acquiring intensity images through a dynamic vision sensor is provided, the method including resetting an inner state of each of a plurality of pixels in the dynamic vision sensor to a predetermined value; receiving from at least one of the plurality of pixels an event signal based on a change in its inner state indicative of a difference in amount of light incident upon the at least one of the plurality of pixels versus that corresponding to the predetermined value; and integrating over a time period the received event signal for the at least one of the plurality of pixels to determine the intensity of light incident upon the at least one of the plurality of pixels.