Driving Intention Estimation Using Imaginary Driver Models
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Solution Overview
Problem
Conventional driving intention estimation systems face challenges in accurately estimating driver intentions due to variations in driving environments and individual differences, leading to inconsistent accuracy.
Innovation Solution
The system employs an information detector, operational input detection device, and imaginary driver operational input calculation devices to estimate driving intentions by comparing the operational inputs of real and imaginary drivers, using different methods and models based on vehicle surroundings and conditions, such as lane markers and preceding vehicles, to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional driving intention estimation systems use driver sight-line behavior to estimate driving intention, then the system can estimate driving intention based on sight-line frequency distribution, but the accuracy of intention estimation varies between individual drivers and driving environments
Solution Approach 1:
The system segments the driver model into multiple imaginary drivers (e.g., cautious driver, aggressive driver, normal driver) with different driving characteristics. Each imaginary driver has its own operational input patterns, allowing the system to select the most appropriate model for the current situation rather than using a single generic model for all drivers
Solution Approach 2:
The system changes the parameters of the driver model by adjusting the weighting coefficients when combining operational inputs from multiple imaginary drivers. The weighting is dynamically adjusted based on the degree of match between each imaginary driver's characteristics and the actual driver's behavior patterns, allowing adaptive parameter optimization for different drivers and environments
2Measurement precision
If the system uses multiple imaginary drivers with different calculation methods, then the driving intention estimation accuracy improves, but the device complexity increases
Solution Approach 1:
The system creates virtual copies of driver behavior models (imaginary drivers) that simulate different driving styles and characteristics. These copied models are computationally generated representations of potential driver behaviors, allowing the system to evaluate multiple hypotheses simultaneously without requiring additional physical sensors or hardware
Solution Approach 2:
The system implements feedback mechanisms where the degree of match between each imaginary driver's operational inputs and the actual driver's inputs is continuously calculated. This feedback is used to dynamically adjust the weighting of each imaginary driver's contribution to the final driving intention estimation, allowing the system to self-optimize based on real-time performance
Data Source
AI summary
A system for estimating a driving intention of a vehicle driver comprises a vehicle surroundings detection device for detecting the vehicle surroundings, an operational input detection device for detecting operational input by the real driver, a first imaginary driver operational input calculation device for calculating the required operational input by a first method based on the vehicle surroundings in order to execute the driving intention of each imaginary driver for multiple differing imaginary drivers, a second imaginary driver operational input calculation device for calculating the required operational input by a second method that differs from the first method based on information differing from said vehicle surroundings in order to execute the driving intention of each imaginary driver, an imaginary driver operational input selection device for selecting either the operational input of the multiple imaginary drivers computed by the first driver operational input calculation device or the operational input of multiple imaginary drivers computed by the second driver operational input calculation device, based on the running condition, an operational input degree of similarity calculation device for calculating each degree of similarity between the operational input of multiple imaginary drivers and the operational input for the real driver, and a driving intention estimation device for estimating the driving intention of said real driver based on the multiple operational input degree of similarity.