Color-Filtered Event Imaging for Multi-Wavelength Signal Detection
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Solution Overview
Problem
Existing event detection sensors struggle to detect information in various wavelength bands, such as lighting changes from brake lights, direction indicators, and traffic lights, while a vehicle is in motion, limiting their ability to provide comprehensive visual information to drivers.
Innovation Solution
An imaging system equipped with an event detection sensor featuring a color filter on a per-pixel basis, controlled by a controller to detect events in specific wavelength bands, allowing for the recognition of objects like taillights, direction indicators, and traffic lights, and transmitting instruction signals for vehicle control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an event detection sensor is used to monitor road surface, then it can detect luminance changes effectively, but it cannot detect information in various wavelength bands (such as brake lights, direction indicators, traffic lights)
Solution Approach 1:
The sensor is divided into multiple pixel types, with each pixel type equipped with a specific color filter (red, green, blue, etc.) to detect light in different wavelength bands. This segmentation allows the sensor to capture information across the visible spectrum simultaneously, resolving the limitation of single-band detection while maintaining event detection capability.
Solution Approach 2:
The event detection sensor is designed to perform multiple functions: it detects luminance changes (original function) and simultaneously detects information in various wavelength bands through multi-color-filter pixels. This multi-functionality enables the sensor to identify brake lights, direction indicators, traffic lights, and other wavelength-specific information without requiring separate sensors.
2Adaptability or versatility
If a color filter is added on a per-pixel basis to detect various wavelength bands, then detection capability improves, but device complexity increases
Solution Approach 1:
Instead of adding complex spectral analysis equipment to each pixel, the solution segments the pixel array into multiple types, with each type having a simple color filter. This segmentation approach achieves multi-wavelength detection using straightforward optical filters rather than complex mechanisms, thereby improving versatility without proportionally increasing 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 the detection and processing of information across multiple wavelength bands, enhancing the driver's situational awareness and enabling automatic control functions like braking or alerting, thereby improving safety and convenience during vehicle travel.
Implementation Method 1
a pixel array section including a plurality of pixels, each having a light receiving section that photoelectrically converts entering light
Data Source
AI summary
An imaging system of the present disclosure includes an event detection sensor that detects an event, and a controller that controls event detection at the event detection sensor. The event detection sensor is provided with a color filter on a per-pixel basis. In addition, the controller controls the event detection in a specific wavelength band based on the color filter. This makes it possible to detect information in various wavelength bands as events.