Vehicle Driver Change Detection via Sensor Pattern Analysis
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Solution Overview
Problem
Current systems fail to accurately and efficiently track changes in vehicle ownership and driver information, leading to inaccurate data and delayed recall notifications, as manual updates are time-consuming and often delayed.
Innovation Solution
A computer-implemented method and system that analyzes vehicle sensor data to determine driving patterns and identifies changes in customary vehicle drivers, allowing for automatic updates and control of vehicle systems based on designated drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual updates of ownership and driver information are used, then device complexity is reduced, but data accuracy and timeliness deteriorate due to delays in reporting changes
Solution Approach 1:
The system automatically detects driver changes by analyzing sensor data patterns without requiring manual input from users. The vehicle's existing sensors continuously monitor driving behavior, and the system autonomously identifies when a new customary driver has taken over, eliminating the need for manual update mechanisms while maintaining high data accuracy.
Solution Approach 2:
The patent replaces the mechanical/manual process of updating ownership and driver information with an automated electronic system that uses sensor data analysis. Instead of relying on manual forms or user input, the system uses computational algorithms to detect driver changes based on behavioral patterns from vehicle sensors, substituting physical/manual operations with electronic automation.
2Productivity
If manual updates of driver information are used, then ease of operation is improved, but productivity deteriorates due to significant time delays in reporting changes
Solution Approach 1:
The system continuously monitors vehicle sensor data to detect driver changes in real-time, rather than relying on periodic manual updates. By maintaining continuous observation of driving patterns through existing vehicle sensors, the system ensures immediate detection of driver changes, eliminating time delays while the automated nature maintains operational simplicity.
Solution Approach 2:
The system implements continuous feedback loops where sensor data is constantly analyzed to detect changes in driving patterns. When the analysis indicates a driver change, the system immediately updates the customary driver information and triggers appropriate actions such as recall notifications, creating a responsive feedback mechanism that improves timeliness without complicating user interaction.
3Measurement precision
If real-time sensor data analysis is implemented to detect driver changes, then data accuracy is improved, but use of energy increases due to continuous processing
Solution Approach 1:
The system applies partial action by analyzing sensor data only when relevant patterns emerge or at intervals rather than processing every single data point continuously. The algorithm focuses on detecting specific behavioral patterns that indicate driver changes, processing only the necessary portions of sensor data to maintain accuracy while reducing overall computational energy consumption compared to exhaustive real-time analysis of all sensor inputs.
Data Source
AI summary
A system and method for determining a change of a customary vehicle driver that include receiving and storing vehicle sensor data from a vehicle for at least one predetermined period of time. The system and method also include determining a vehicle driving pattern for the at least one predetermined period of time based on the vehicle sensor data and determining if there is a change in the customary vehicle driver based on a comparison of a real-time vehicle sensor data with the vehicle driving pattern. The system and method further include controlling at least one vehicle system by executing vehicle settings associated with at least one of: the customary vehicle driver and a newly designated customary vehicle driver based on if the change is determined in the customary vehicle driver.