Vehicle Personalization Device Occupancy-Based Profile Selection
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Solution Overview
Problem
Current motor vehicle personalization systems do not adequately consider the driver's preferences based on the presence and identity of additional occupants, requiring manual adjustments by the driver, which diverts attention from the traffic situation and compromises safety.
Innovation Solution
A personalization device that identifies the driver and additional occupants using sensors, determines their intentions, and selects appropriate user profiles or sub-profiles to configure the vehicle systems, such as navigation and entertainment settings, based on the occupancy and passenger composition, using machine learning to adapt settings over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of vehicle settings is required to adapt to different driving situations, then personalization accuracy is improved, but driving safety deteriorates due to driver distraction
Solution Approach 1:
The system automatically detects occupancy status and selects appropriate user profiles without driver intervention. The personalization device autonomously configures vehicle settings based on detected occupants, eliminating the need for manual adjustment while maintaining high personalization accuracy.
Solution Approach 2:
The system pre-configures multiple user profiles and automatically selects the appropriate one based on detected occupancy before the driver needs to make adjustments. Vehicle settings are prepared in advance and applied automatically, removing the distraction of manual configuration during driving.
2Adaptability or versatility
If multiple user profiles are stored for different occupants, then system adaptability is improved, but device complexity increases
Solution Approach 1:
The personalization device is divided into functional modules: occupancy detection module, profile storage module, and automatic selection module. Each module performs a specific function, making the complex system manageable and maintainable while supporting multiple user profiles.
Solution Approach 2:
The personalization device serves multiple functions: detecting occupancy status, identifying occupants, selecting appropriate user profiles, and configuring vehicle settings. This multi-functionality is achieved through integrated processing that manages complexity while providing comprehensive adaptability.
3Reliability
If automatic occupancy-based personalization is implemented, then driving safety is improved, but measurement precision requirements increase for occupant detection
Solution Approach 1:
Multiple detection methods (sensors, cameras, weight sensors) are combined to detect occupancy status. The personalization device integrates data from various sources to accurately determine presence and identity of occupants, achieving high measurement precision through sensor fusion.
Solution Approach 2:
The system continuously monitors occupancy status and adjusts vehicle settings in real-time based on detected changes. Feedback loops ensure that the system maintains accurate detection and responds appropriately to occupancy changes, enhancing both precision and safety.
Data Source
AI summary
The invention relates to a method for operating a motor vehicle system of a motor vehicle regardless of the driving situation. The method is performed by a personalization device of the motor vehicle and includes identifying the driver of the motor vehicle and using the identity of the driver to determine multiple driver-specific configuration data sets. Each of the determined configuration data sets describes configuration data of a respective user profile of the identified driver in order to personalize the motor vehicle system. The method further includes determining at least one additional occupant in the motor vehicle and using the result of the determination of the at least one occupant, determine an intention of the determined driver. The method further incudes using the determined intention to select a personalization mode from a plurality of personalization modes.