Shared Vehicle System Automatic Feature Adjustment
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Solution Overview
Problem
Shared-use vehicle systems face challenges in replicating the personal ownership experience for users, as vehicles are often not adjusted to individual preferences, leading to discomfort and safety issues due to fixed settings.
Innovation Solution
A system that automatically adjusts vehicle features such as steering wheel position, seat settings, and other customizable options based on user preferences, using sensors and wireless communication to match user identities with preferred settings, and includes biometric data for optimal adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vehicle settings are fixed for shared use, then ease of operation is reduced for individual users, but device complexity is minimized
Solution Approach 1:
The system performs preliminary actions by automatically adjusting vehicle settings (seat position, steering wheel angle, mirror positions, climate control) to match the current user's preferences before the user begins driving. This eliminates the need for manual adjustment and ensures optimal comfort and safety settings are in place in advance.
Solution Approach 2:
The vehicle system serves itself by automatically detecting user identity through biometric sensors (fingerprint, facial recognition, or key fob) and autonomously configuring all vehicle parameters without requiring user intervention. The system self-adjusts based on stored user profiles, making the vehicle adapt to each user independently.
2Reliability
If vehicle settings are automatically adjusted for each user, then user comfort and safety are improved, but device complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms where biometric sensors continuously verify user identity and the system monitors whether adjustments are needed. The sensors provide feedback about the current user, and the control system uses this feedback to automatically configure the appropriate settings from stored profiles, ensuring reliable and consistent user experience.
Solution Approach 2:
The vehicle system is designed with multi-functionality to handle multiple user profiles and various vehicle parameters (seating, climate, entertainment, safety settings) through a single integrated control system. This universal approach allows one system to manage diverse functions, reducing overall complexity compared to separate systems for each function.
3Measurement precision
If biometric sensors and automatic adjustment systems are implemented, then user identification accuracy is improved, but manufacturing cost increases
Solution Approach 1:
The system uses relatively simple and cost-effective biometric identification methods such as fingerprint sensors, basic facial recognition cameras, or RFID key fobs rather than complex advanced biometric systems. These simpler sensors provide sufficient precision for user identification while keeping manufacturing costs manageable and the system easier to implement.
Data Source
AI summary
The present invention relates to a system for automatically adjusting a vehicle feature of a vehicle, where the system includes a first sensor, an onboard computer, a camera, a mirror, a controller; an actuator; and an algorithm. The algorithm instructs the onboard computer in steps for adjusting one or more vehicle features. The first sensor and the controller are in electronic communication with the onboard computer and the controller is in electronic communication with one or more actuators that connect to and adjust the various vehicle features. The onboard computer includes or accesses a database that correlates users, features, and vehicle feature settings. Such vehicle features include seat position and camera viewing angle.