Vehicle Setting Adjustment Using Key-Based User Identification
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Solution Overview
Problem
Existing vehicle setting adjustment methods do not reliably and efficiently adapt to individual user characteristics, particularly in fleet or rental vehicles with diverse user populations, leading to suboptimal comfort.
Innovation Solution
A method that utilizes sensor data from multiple detection positions on the vehicle to identify a user carrying a key element, such as a key fob or smartphone, and maps this data onto optical image data to accurately determine user characteristics like full body height, enabling precise adjustment of vehicle settings like seat position, airbag settings, and mirror orientation before the user enters the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vehicle settings are adjusted manually based on user measurements, then the adjustment process is simple and does not require complex systems, but the user experience is suboptimal especially in fleet or rental vehicles with diverse users
Solution Approach 1:
The system automatically detects the user via key element location data and optical image processing, and autonomously adjusts vehicle settings without requiring manual user input or measurement, enabling the vehicle to serve itself in adapting to different users
Solution Approach 2:
The system performs user identification and vehicle setting adjustment before the user enters the vehicle, so that when the user sits down, the seat position, mirrors, and other settings are already optimized for their body characteristics
2Ease of operation
If pre-entry auto-adjustment is implemented, then user comfort is improved, but the system complexity and computational requirements increase
Solution Approach 1:
The system extracts only the necessary data elements for user identification - specifically the location of the key element from sensor data and relevant features from optical images - rather than processing complete datasets, reducing computational complexity while maintaining accuracy
Solution Approach 2:
The system uses the key element (smartphone or key fob) as an intermediary to facilitate user identification and trigger the adjustment process, simplifying the interaction between the user and the complex vehicle setting system
3Reliability
If mapping sensor data onto optical image data is used to identify user representation, then user identification reliability is improved, but the computational efficiency decreases
Solution Approach 1:
The system focuses computational resources on mapping and processing only the specific region in the optical image where the user's head is located, rather than analyzing the entire image, thereby maintaining high identification reliability while improving computational efficiency
Data Source
Figure 1~2
Figure 3~4
AI summary
The disclosure relates to a method for adjusting a vehicle setting to a user (12). The method comprises receiving first data (D1) comprising a representation of the user (12) and receiving second data (D2) indicative of a location of a key element (14) for the vehicle (10). Moreover, the method comprises identifying the representation of the user (12) in the first data (D1) by mapping the second data (D2) on the first data (D1) and triggering adjustment of the vehicle setting based on the representation of the user (12). Additionally, a data processing apparatus (28), a computer program (36), and a computer-readable storage medium (34) are disclosed. Furthermore, a vehicle setting adjustment system (16) is described. The vehicle setting adjustment system (16) comprises at least one first sensor (18a, 18b) configured for providing first data (D1) comprising a representation of a user (12), at least one second sensor (20a, 20b, 20c, 220d, 20e, 20f) configured for providing second data (D2) indicative of a location of a key element (14) for the vehicle (10), an actuator unit (22) configured for adjusting the vehicle setting and the data processing apparatus (28). Also, a vehicle (10) is presented.