Vehicle Personalization Settings for Delayed Driver Recognition
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Solution Overview
Problem
Existing vehicle personalization systems face delays and inefficiencies due to low accuracy in individual recognition, leading to time consumption and disadvantages for users when activating personalization settings.
Innovation Solution
A vehicle personalization setting system that acquires and stores personalization information externally, adjusts acquisition content based on recognition delays, and uses secondary recognition methods or parallel processing to ensure quick activation of personalization functions, even when individual recognition is delayed or unreliable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system waits for accurate individual recognition before acquiring personalization information, then the reliability of user identification is improved, but the time required to activate personalization functions increases
Solution Approach 1:
The system performs preliminary acquisition of personalization information for multiple users before individual recognition is completed. The external information acquisition unit retrieves personalization data in advance, and the system prepares personalization settings for multiple potential users simultaneously, so that when recognition is finalized, the information is already available and can be applied immediately without delay.
Solution Approach 2:
The system dynamically adjusts its operation based on the recognition status. When individual recognition is delayed or uncertain, the system automatically switches to a mode where it acquires and prepares personalization information for multiple users in parallel. Once recognition is confirmed, the system dynamically selects the appropriate user's pre-acquired information, thereby maintaining reliability while minimizing activation time.
2Speed
If the system acquires personalization information for multiple users in advance, then the activation speed is improved, but the information storage requirements and processing complexity increase
Solution Approach 1:
The system segments personalization information by user identity, organizing data into distinct units for different individuals. The external information acquisition unit retrieves and stores personalization information separately for each user, allowing the system to quickly access and apply the appropriate segment once recognition is completed, thereby enabling fast activation without managing all information in a single complex structure.
Solution Approach 2:
The system introduces an external information acquisition unit as an intermediary between the personalization information storage and the vehicle instruments. This intermediary handles the complexity of acquiring, storing, and managing personalization information for multiple users, while the core vehicle system only needs to request and apply pre-processed information, thereby reducing the perceived complexity in the main system.
3Reliability
If the system uses secondary recognition methods when primary recognition is unreliable, then the reliability is improved, but the time required for recognition increases
Solution Approach 1:
The system employs periodic or alternative recognition actions when the primary recognition method is unreliable. Instead of repeatedly using the same unreliable method, the system switches to secondary recognition methods as alternatives, allowing it to maintain reliability by selecting from multiple periodic options until successful recognition is achieved, while managing the time cost through efficient switching between methods.
Data Source
AI summary
A vehicle personalization setting system or a vehicle personalization setting method sets personalization setting information for at least one vehicle instrument for each of at least one individual recognized by an individual recognition unit, and acquires the personalization setting information for each individual. The information is stored in an outside based on the recognized individual.