Vehicle Assistance System Image Data Extraction
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Solution Overview
Problem
Conventional vehicle assistance systems relying on image databases or map services cannot effectively utilize image data for tasks beyond supplementing surroundings representation, such as finding parking spaces, due to limitations in data integration and processing.
Innovation Solution
A method that ascertains a vehicle's position and orientation using GPS and image-data-based map services, retrieves relevant image data, extracts information about surroundings, and transfers it into the assistance system, enabling enhanced functionality like parking assistance and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image data from map services is used only for supplementing surroundings representation, then the system complexity remains low, but the functionality and versatility of the assistance system are limited
Solution Approach 1:
The patent applies universality by enabling the image data from map services to serve multiple functions beyond just supplementing surroundings representation. The extracted information is utilized for diverse tasks including navigation, parking assistance, hazard detection, and route planning, allowing a single data source to support multiple assistance system functionalities simultaneously.
Solution Approach 2:
The patent applies segmentation by dividing the image data processing into distinct functional modules: position ascertainment, image data retrieval, information extraction, and task-specific application. This modular approach allows the system to process different aspects of image data for different functions independently, managing complexity through structured organization while maintaining versatility.
2Adaptability or versatility
If comprehensive image data processing is implemented for multiple tasks, then the versatility of the assistance system improves, but the data processing complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by extracting and storing relevant information from image data in advance, organizing it into structured formats that can be quickly accessed and utilized by different assistance system functions. This pre-processing step reduces the computational burden during real-time operations, as data is prepared and categorized before actual navigation or parking tasks begin.
Solution Approach 2:
The patent introduces an intermediary information extraction layer that acts as a mediator between raw image data from map services and the various assistance system functions. This intermediary component processes and standardizes the data into a unified format, simplifying the interface between data sources and multiple applications, thereby reducing overall system complexity.
3Loss of information
If image data is extracted and transferred for multiple assistance system functions, then the usefulness of the data increases, but the time required for data processing and transfer increases
Solution Approach 1:
The patent applies continuity of useful action by implementing continuous background processing of image data extraction and information transfer. Rather than processing data only when immediately needed, the system continuously retrieves and extracts information from map services, maintaining an updated repository of usable data that can be rapidly accessed by assistance system functions as required, minimizing wait time while maximizing information availability.
Data Source
AI summary
A method for transferring data from an image-data-based map service for use in an assistance system of a vehicle includes the following: ascertaining the position and/or orientation of the vehicle, retrieving image data of the vehicle surroundings from the image-data-based map service, extracting items of information from the image data of the map service, and transferring the items of information into the assistance system.