Driver Profile Data Personalization for ADAS
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Advanced driver assistance systems (ADAS) lack the ability to customize and personalize settings based on a driver's performance and behavior, and there is a need for systems that can create, recall, and transfer driver profiles for improved adaptability and safety.
Innovation Solution
A system comprising a processor, driver assistance system, and storage for storing driver profile data, which processes and normalizes usage characteristics to create a driver profile file that can control vehicle functions, allowing for semi-autonomous and fully autonomous operation, and enables sharing of profiles between drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If driver assistance system data is used to control vehicle functions, then the system operates with standardized settings, but it cannot be personalized to individual driver preferences and behaviors
Solution Approach 1:
The driver profile data is segmented into multiple parameters including steering behavior, braking characteristics, acceleration patterns, and lane changing preferences. Each parameter can be independently adjusted and applied to specific vehicle functions, allowing personalized control without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary data collection during a training phase where driver behavior is monitored and stored as profile data before actual personalized control is implemented. This preliminary action allows the system to learn driver preferences in advance, enabling seamless transition to personalized operation without disrupting normal vehicle function.
2Adaptability or versatility
If driver profile data is collected and processed to create personalized settings, then adaptability improves, but data processing time and computational resources increase
Solution Approach 1:
Driver profile data is collected and processed during a predetermined training period before personalized control is activated. The system monitors driver behavior, stores data in memory, and creates the driver profile in advance, so that when personalized control begins, the processing is already complete and real-time performance is optimized.
Solution Approach 2:
The system implements personalized control for specific vehicle functions where driver preference has the greatest impact, rather than attempting to personalize every system parameter. This selective approach reduces computational burden while still providing meaningful personalization benefits.
3Adaptability or versatility
If driver profile data is stored and processed, then personalized control is achieved, but the system requires additional storage and processing infrastructure
Solution Approach 1:
The driver profile data structure is designed to be universal and applicable across multiple vehicle functions and different driver assistance systems. The same profile data can control steering, braking, acceleration, and lane changing functions, eliminating the need for separate data storage and processing systems for each function.
Solution Approach 2:
The system creates a digital representation or copy of driver behavior patterns stored in memory, which can be referenced and applied to control vehicle functions without requiring complex real-time analysis of actual driver actions. This copied profile data simplifies the processing infrastructure needed for personalized control.
Data Source
AI summary
A system, apparatus and method for controlling operation of a vehicle. Driver assistance system (DAS) data may be used for controlling one or more function of the vehicle via a driver assistance system. Driver profile data (DPD) is generated and/or received that includes training data from sensor monitoring of a driver's usage characteristics for at least one feature of a vehicle type during a driver-controlled mode of vehicle driving. The DPD is processed with the DAS data to determine if the DPD conform to a tolerance parameter of the DAS data. A driver profile data file may be created by overwriting the portions of the DAS data with the DPD conforming to the tolerance parameters. One or more functions on the vehicle may be controlled via the driver profile data file using the driver assistance system during one of a semi-autonomous and fully autonomous mode of operation.