Broadband Camera for Vehicle Driving Assist System
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Solution Overview
Problem
Current driving assist systems for vehicles have limited processing ranges and precision due to their reliance on narrow bandwidth devices, which struggle to recognize road features and objects effectively, especially in achromatic road environments, and require complex algorithms and multiple sensors, increasing costs and processing time.
Innovation Solution
A driving assist system utilizing a broadband camera that captures images with four channels of information (green, near infrared 1, near infrared 2, and far infrared) to create depth maps and broadband image data, enabling improved recognition of roads and objects with reduced complexity and increased precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors (radar, TOF camera, stereo camera, infrared camera, ultrasonic sensor, laser) are mounted to obtain three-dimensional space information, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The broadband camera is designed to perform multiple functions: it captures visible light images for color information, near-infrared images for depth and material differentiation, and far-infrared images for thermal information. This multi-functional single device replaces multiple specialized sensors, reducing system complexity while maintaining measurement precision for three-dimensional space recognition
Solution Approach 2:
The patent combines multiple sensing capabilities (visible light, near-infrared, far-infrared detection) into a single broadband camera system. By merging these functions into one integrated device rather than using separate sensors, the system achieves three-dimensional space information recognition with reduced device complexity and lower cost
2Measurement precision
If RGB camera and three-dimensional space information are combined, then measurement precision is improved, but processing complexity and software load increase
Solution Approach 1:
The broadband camera captures information across multiple spectral dimensions (visible light, near-infrared, far-infrared) simultaneously, creating multi-dimensional image data from a single device. This spectral dimensionality allows the system to extract depth maps and material properties directly from the captured data without requiring complex multi-sensor fusion algorithms, thereby improving measurement precision while reducing processing complexity
3Device complexity
If visible ray processing region is limited, then device complexity is reduced, but space recognizing ability and manufacturing precision decrease
Solution Approach 1:
The broadband camera changes the operational parameter of light wavelength detection by extending sensitivity beyond the visible spectrum into near-infrared and far-infrared regions. This parameter expansion enables the system to detect material-specific thermal radiation and emissivity differences, significantly improving road surface division precision and space recognition ability while maintaining relatively simple device architecture
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 system enhances space recognition and contour extraction, improving the ability to assist drivers by providing accurate road and object detection without the need for multiple sensors, reducing processing time and complexity, and enabling more precise navigation.
Implementation Method 1
a broadband camera that photographs the area surrounding the vehicle to create an image... A broadband camera may create an image including four channels of information such as green (G), 800 nm-band near infrared 1 (NIR1), 900 nm-band near infrared 2 (NIR2), and far infrared (FIR)
Data Source
AI summary
A driving assist system for a vehicle and a method thereof includes a broadband camera which photographs the surrounding area of the vehicle to create an image including four channels of light information having different wavelengths. The broadband image data and the position of the vehicle are matched so that a road and an obstacle are easily recognized using a minimal number of cameras while driving the vehicle. Recognition performance of a drivable area is significantly improved, navigation for the vehicle is easily measured, and the biometric recognizing abilities of a driver monitoring camera is improved, thereby improving the convenience of a driver by the improvement of a the performance of a driving assist device.