Vehicle Cabin Occupant Detection With Mobile Status Reporting
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Solution Overview
Problem
Existing vehicle systems lack an efficient method to detect and communicate the status of occupants within the vehicle, including classification and presence detection, which is essential for enhancing safety and convenience.
Innovation Solution
A system that includes a processor and memory to receive a scan of the vehicle cabin, determine occupant characteristics such as seat presence and classification, and communicate the cabin status to a mobile device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a scanning system is implemented to detect occupant characteristics, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The scanning system is designed to perform multiple detection functions simultaneously, including seat presence detection, occupant classification, and cabin status monitoring, thereby achieving high measurement precision across various parameters without proportionally increasing device complexity
Solution Approach 2:
A processor acts as an intermediary component that receives scan data and determines occupant characteristics through computational analysis, separating the complex detection algorithms from the physical scanning hardware and reducing overall system complexity
2Loss of information
If real-time cabin status communication is implemented, then information availability is improved, but use of energy increases
Solution Approach 1:
The system communicates cabin status information at periodic intervals or upon detection of status changes rather than continuously, ensuring real-time information availability while minimizing energy consumption during data transmission
Solution Approach 2:
The system autonomously determines when communication is necessary based on detected occupant characteristics and cabin status changes, activating communication only when new information needs to be transmitted to the mobile device, thereby reducing unnecessary energy expenditure
Data Source
AI summary
An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.