Vehicle GUI Adaptation Using Occupant and Cabin Sensor Feedback
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Solution Overview
Problem
Existing vehicle systems lack the ability to dynamically modify functionality based on real-time data from sensors, specifically to enhance occupant comfort and route efficiency.
Innovation Solution
A system that receives data from vehicle sensors related to the internal environment and occupant characteristics, and uses this data to modify vehicle functionality, including updating Graphical User Interfaces (GUIs) on both the vehicle and associated devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle systems use fixed functionality without real-time sensor data integration, then system complexity is reduced, but adaptability and occupant comfort are limited
Solution Approach 1:
The system dynamically modifies vehicle functionality based on real-time sensor data. The processor continuously receives data from sensors monitoring internal environment (temperature, humidity, air quality) and occupant characteristics (heart rate, body temperature, position), then automatically adjusts vehicle features such as climate control, seat positioning, and route optimization. This dynamic adaptation resolves the contradiction by making the system flexible and responsive without requiring complex manual reconfiguration.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring sensor data and using it to modify vehicle functionality. The processor receives feedback from sensors about environmental conditions and occupant states, processes this information, and automatically adjusts vehicle features accordingly. This feedback mechanism enables the system to adapt to changing conditions while maintaining manageable complexity through automated control algorithms.
2Adaptability or versatility
If real-time sensor data is integrated to modify vehicle functionality, then adaptability and comfort are improved, but processing requirements and energy consumption increase
Solution Approach 1:
The system processes sensor data selectively rather than continuously analyzing all available data streams. The processor focuses on critical parameters such as occupant safety, comfort thresholds, and route optimization needs, ignoring less relevant data. This partial processing approach maintains high adaptability for essential functions while reducing overall computational load and energy consumption.
Solution Approach 2:
The system adjusts processing intensity based on operational parameters. During critical phases such as active occupancy or extreme environmental conditions, the processor increases data analysis frequency and depth. During idle periods or stable conditions, processing is reduced. This dynamic parameter adjustment allows the system to maintain adaptability when needed while minimizing energy consumption during normal operation.
3Loss of information
If the system continuously updates GUIs based on sensor data, then information accuracy and user awareness are improved, but data transmission and processing time increase
Solution Approach 1:
The system merges multiple data streams and updates multiple GUI displays simultaneously through a centralized processing architecture. The processor aggregates sensor data from various sources and distributes relevant information to both the vehicle's internal display and the occupant's mobile device in coordinated updates. This merging approach ensures information accuracy across all displays while reducing total transmission time compared to separate update cycles.
Solution Approach 2:
The system pre-processes sensor data and prepares information for display before actual GUI updates are needed. Critical information such as route changes, comfort alerts, and safety notifications are prepared in advance and queued for transmission. This preliminary action ensures that when GUI updates occur, the information is already optimized and ready for immediate display, maintaining accuracy while minimizing real-time transmission delays.
Data Source
AI summary
Provided is a process that includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data, where the modifying updates a Graphical User Interface (GUI) of the vehicle and a GUI of a device associated with the occupant.