Vehicle Feature Modification Based on Occupant Analysis
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Solution Overview
Problem
Existing vehicle systems lack the ability to autonomously analyze occupant-related data, such as objects, physical conditions, and spoken words, to determine a destination and modify vehicle features accordingly.
Innovation Solution
A system that utilizes sensors in a vehicle to analyze objects, physical conditions, and spoken words of occupants, determines a destination based on this analysis, and modifies vehicle features such as route planning, seat adjustments, and entertainment settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle system analyzes occupant data (objects, physical conditions, spoken words) to determine destination and modify features, then the personalization and efficiency of vehicle experience is improved, but the device complexity increases due to multiple sensors and processing systems
Solution Approach 1:
The vehicle's existing sensor network and computing system are made multi-functional by enabling them to analyze occupant data for destination determination and feature modification, rather than adding completely separate systems. The same sensors that monitor vehicle status now also detect objects, physical conditions, and spoken words of occupants.
Solution Approach 2:
The vehicle system automatically analyzes occupant data and modifies features without requiring manual input or driver intervention. The system serves itself by using sensor data to autonomously determine destinations and adjust vehicle settings, reducing the need for complex user interfaces and controls.
2Ease of operation
If the vehicle system continuously monitors and analyzes occupant data, then the responsiveness and convenience are improved, but the energy consumption increases
Solution Approach 1:
The system performs destination determination and feature modification periodically based on detected changes in occupant data, rather than continuously processing all sensor information in real-time. This allows the system to remain responsive to occupant needs while reducing overall energy consumption by activating intensive analysis only when necessary.
Data Source
AI summary
An example operation includes one or more of analyzing, by sensors in a vehicle, objects in the vehicle related to at least one occupant, a physical condition of the at least one occupant, and spoken words of the at least one occupant, determining a destination of the vehicle, based on the analyzing, and modifying a feature of the vehicle, based on the determining.