Driver Assistance Camera Orientation Detection
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Solution Overview
Problem
Existing driver assistance systems are limited in determining the orientation of adjacent vehicles, which is crucial for accurate parking assistance, particularly in differentiating between perpendicular and parallel parking spaces.
Innovation Solution
A method using a camera and computing device to identify objects such as license plates or wheels in recorded images, determining the orientation of adjacent vehicles by analyzing image features like edges, corners, and patterns, and combining these methods for enhanced precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver assistance systems use camera images to determine distance to neighboring vehicles, then the basic parking assistance function is achieved, but the system cannot determine the orientation of adjacent vehicles which is crucial for differentiating between perpendicular and parallel parking spaces
Solution Approach 1:
The system segments the image processing task by identifying specific feature objects (license plates, wheels, vehicle contours) separately and independently. Each feature provides partial orientation information that is then integrated to determine the overall vehicle orientation, enabling accurate differentiation between parking space types
Solution Approach 2:
The system transitions from one-dimensional distance measurement to two-dimensional orientation determination by analyzing the spatial arrangement and geometric properties of identified features in the image plane. This dimensional expansion enables the system to determine both distance and angular orientation of adjacent vehicles
2Measurement precision
If the system identifies multiple objects on the adjacent vehicle to determine orientation, then the orientation determination accuracy is improved, but the image processing complexity and computational requirements increase
Solution Approach 1:
The system applies different processing strategies to different regions and features in the image. License plates receive pattern recognition processing, wheels receive contour detection, and other features receive appropriate specialized processing. This localized approach improves overall accuracy without uniformly increasing complexity across the entire system
Solution Approach 2:
The system performs preliminary identification and classification of features in the image before conducting detailed orientation analysis. By pre-segmenting the image into regions containing different feature types and pre-identifying their locations, the system reduces the computational complexity of the subsequent orientation determination process
Data Source
Figure 1~2
AI summary
The aim of the invention is to provide a solution for how the functionality or area of application of a driver assistance system having a camera can be expanded in comparison to the prior art. The invention relates to a method for operating a driver assistance system in a motor vehicle, in which an image (10) of an adjacent vehicle (11) is captured by a camera of the driver assistance system. A processor processes the image (10) and identifies at least one object (1, 12, 13) on the adjacent vehicle (11) in the image (10). The processor determines an orientation of the adjacent vehicle (11) relative to the motor vehicle on the basis of a copy of the identified object (1, 12, 13). The invention also relates to a driver assistance system for carrying out such a method, and to a motor vehicle comprising a driver assistance system.