Parking Assistance Data Capture via Ring Memory
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Solution Overview
Problem
Current driver assistance systems, particularly parking assistance systems, lack the ability to collect comprehensive data on various scenarios and user interactions, limiting the representation of real-world operational cases due to their complexity and dependency on environmental influences.
Innovation Solution
A method and device that store information used during parking assistance system operations in a memory, using a ring memory following the first-in-first-out principle, and provide selected data based on predefined conditions such as successful or aborted parking maneuvers, user inputs, errors, or critical events, allowing for targeted data collection and transmission via interfaces like radio or V2X.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data collection is performed manually by competent persons during system development, then data quality and relevance to development goals are improved, but data coverage of real-world scenarios is limited
Solution Approach 1:
The system automatically collects data during series operation without requiring manual intervention by competent persons. The parking assistance system itself performs the data collection function by detecting predefined conditions and automatically storing relevant information in memory, enabling the system to serve its own data collection needs while operating in the field.
Solution Approach 2:
The data collection system transitions from static manual collection during development to dynamic automatic collection during series operation. The system adapts to different operational scenarios by continuously monitoring predefined conditions and collecting data whenever these conditions are met, allowing coverage of diverse real-world situations that cannot be anticipated during development.
2Quantity of substance
If all operational information is continuously stored in memory, then complete data coverage is achieved, but memory resources and data processing load increase
Solution Approach 1:
The system extracts and stores only the specific information that is relevant to predefined conditions rather than continuously storing all operational data. When a predefined condition is detected, the system stores the particular information related to that condition in memory, filtering out unnecessary data and reducing overall memory requirements while maintaining data quality for analysis purposes.
3Adaptability or versatility
If comprehensive data collection is implemented to cover all possible scenarios, then system optimization potential is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The data collection system is segmented into modular components: a memory unit for storing information, a condition detection unit for monitoring predefined conditions, and a data provision unit for outputting stored information. This segmentation allows the system to achieve comprehensive scenario coverage through a structured, manageable architecture rather than a monolithic complex system.
Solution Approach 2:
The parking assistance system performs multiple functions simultaneously: it provides parking assistance operations and concurrently collects data for system optimization. The same system components used for parking assistance also serve the data collection function, eliminating the need for separate dedicated data collection hardware and reducing overall system complexity.
Data Source
AI summary
A method and a device for capturing information of a parking assistance system of a vehicle. The method includes storing of information which is used during operation of the parking assistance system in a memory; provision of a parking assistance function by the parking assistance system; detecting whether a condition, of one or more predefined conditions, is fulfilled, and an at least partial provision of the information stored in the memory in response to the condition being fulfilled.