Vehicle Interior Sensor Matrix for AI-Driven Smart Cabin Interaction
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Solution Overview
Problem
Current systems for vehicle interiors lack effective integration of sensor matrices to provide enhanced interaction with occupants and vehicle systems, failing to create a comprehensive 'smart cabin' environment with interactive connectivity for various situations and use cases.
Innovation Solution
A system comprising a distributed sensor matrix that processes input signals from various sources within the vehicle to generate output signals, including those based on artificial intelligence and augmented reality, for interaction with occupants and vehicle systems, enhancing connectivity and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a distributed sensor matrix is implemented to create a smart cabin environment, then interaction and connectivity with occupants and vehicle systems is improved, but device complexity increases
Solution Approach 1:
The system divides the vehicle interior into multiple zones with distributed sensor matrices positioned at different locations (front, rear, left, right). Each sensor matrix independently monitors its local environment for parameters such as temperature, humidity, and occupancy, then consolidates data at a central processing unit. This segmentation enables comprehensive coverage while managing complexity through modular deployment.
Solution Approach 2:
The sensor matrices are designed with multi-functional capabilities, integrating multiple sensor types (temperature sensors, humidity sensors, occupancy detectors, proximity sensors) into single units. These universal sensors can detect various physical parameters simultaneously, reducing the overall number of components needed while maintaining comprehensive monitoring functionality across the smart cabin environment.
2Measurement precision
If multiple sensors are integrated to provide comprehensive data, then measurement precision and interaction quality improve, but device complexity increases
Solution Approach 1:
Multiple sensor types are merged into integrated sensor matrix assemblies positioned at strategic locations throughout the vehicle interior. Each assembly combines temperature sensing, humidity sensing, occupancy detection, and proximity sensing capabilities into unified units. This merging approach maintains high measurement precision through multiple data sources while reducing complexity by eliminating redundant mounting structures and simplifying data acquisition architecture.
Solution Approach 2:
Signal conditioning circuits and data processing intermediaries are introduced between the raw sensors and the main control system. These intermediaries pre-process sensor outputs, filter noise, and standardize data formats before transmission to the central processor. This intermediary layer improves measurement precision by enhancing signal quality while managing complexity through standardized interfaces that simplify integration.
Data Source
AI summary
A system/method using a sensor arrangement in a vehicle interior with an occupant and vehicle systems may comprise a user interface and computing system to process input/signal and data from data sources to facilitate operation and to provide output/signal with connectivity with occupants, vehicle systems, networks, etc. relating to operation, events, conditions, etc. Output may comprise information/interaction at a user interface, to vehicle systems, network communications, etc. The system may use data to provide output comprising enhancement and/or augmentation of input; output may comprise a signal based on data analytics/processing including application of artificial intelligence models and/or augmented reality models. The system may comprise a distributed sensor matrix to obtain data/input from a sensor field within the vehicle; data sources may comprise the sensor matrix, vehicle systems, data storage and/or networks. The sensor/matrix may be for use with an interior component in personal vehicles, commercial/industrial vehicles, autonomous vehicles, etc.


