Selenium Imaging Airbag Trigger for Low-Light Collision Prediction
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Solution Overview
Problem
Current airbag systems face challenges in accurately predicting collisions, especially under low illuminance and during side collisions, due to limitations in distance and object identification using electromagnetic or ultrasonic waves, and image analysis difficulties with fast-changing side views.
Innovation Solution
An occupant protection device incorporating an imaging device with a light-receiving element containing selenium and an oxide semiconductor transistor, which uses images to predict collisions and activate airbags accurately, even in low light conditions and while moving, by employing a global shutter system and multiple imaging devices for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic waves or ultrasonic waves are used for collision prediction, then the distance to the object can be measured, but the object itself cannot be identified and impact force cannot be estimated
Solution Approach 1:
The patent combines electromagnetic wave/ultrasonic wave sensors for distance measurement with image sensors for object identification into an integrated collision prediction system. This merging allows the system to obtain both distance information and visual information about the object, enabling comprehensive impact force estimation.
Solution Approach 2:
The control device is designed to perform multiple functions: it processes data from electromagnetic wave sensors for distance measurement, processes images from image sensors for object identification, and integrates both data types to estimate impact force. This multi-functional approach resolves the limitation of single-sensor systems.
2Loss of information
If existing image sensors are used for collision prediction, then object imaging is possible, but accuracy decreases under low illuminance conditions
Solution Approach 1:
The patent changes the operational parameters of the image sensor by adjusting sensitivity settings and processing gain based on illuminance conditions. Under low light conditions, the system increases sensor sensitivity and applies noise reduction algorithms to maintain imaging accuracy when illumination is insufficient.
Solution Approach 2:
The control device acts as an intermediary that processes raw image data from the sensor, applying enhancement algorithms and noise filtering to improve image quality under low illuminance conditions before using the images for collision prediction.
3Adaptability or versatility
If side-view imaging is performed while the car travels, then side collision detection is possible, but image distortion occurs making analysis difficult
Solution Approach 1:
The patent implements dynamic image correction that adapts to the vehicle's motion state. The system detects vehicle speed and direction, then applies real-time geometric transformation to correct distortion in side-view images, maintaining analysis accuracy despite the dynamic viewing conditions.
Solution Approach 2:
The patent replaces mechanical stabilization methods with computational image processing. Instead of physically stabilizing the imaging system, the control device uses algorithmic correction to compensate for motion-induced distortion, achieving stable image analysis without mechanical intervention.
4Loss of time
If collision prediction is performed using existing methods, then basic distance detection is achieved, but timely and accurate protection cannot be ensured
Solution Approach 1:
The system performs preliminary collision assessment by continuously analyzing images and distance data before a collision actually occurs. The control device estimates potential impact force in advance and prepares appropriate protection responses, enabling timely intervention rather than reactive response after collision detection.
Solution Approach 2:
The patent implements a feedback loop where the control device continuously monitors image data and distance measurements, compares them against collision thresholds, and adjusts protection timing and intensity based on real-time impact force estimates, optimizing both response time and protection reliability.
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
The solution enables timely and accurate protection of occupants from collisions without delay, operating effectively under low illuminance and during side collisions, with improved accuracy and safety.
Implementation Method 1
the imaging device includes a light-receiving element containing selenium
Implementation Method 2
a transistor including an oxide semiconductor
Data Source
AI summary
An occupant protection device which can protect an occupant without delay is provided. An image taken by an imaging device is analyzed to judge whether there is an object approaching the subject car. In the case where a collision between the object and the subject car is judged to be inevitable, an airbag device is activated before the collision, whereby the occupant can be protected without delay. By using selenium for a light-receiving element of the imaging device, an accurate image can be obtained even under low illuminance. Imaging in a global shutter system leads to an accurate image with little distortion. This enables more accurate image analysis.