Occupant State Estimation Feedback Control for Driving Incapability Checks
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Solution Overview
Problem
Conventional occupant state estimation methods often lead to inappropriate determination of driving incapability states, resulting in repeated inappropriate determinations due to lack of feedback from confirmation results.
Innovation Solution
An adjustment device that collects estimation results from multiple occupant state estimating devices, uses a machine learning model to determine if a state check is necessary, and adjusts the state estimation conditions based on behavior and environmental information to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional occupant state estimation methods are used, then the occupant state can be estimated, but inappropriate determination occurs repeatedly due to lack of feedback adjustment
Solution Approach 1:
The patent implements a feedback mechanism where confirmation results from occupants are collected and used to adjust estimation methods. The adjustment device receives confirmation results indicating whether the occupant agrees with the estimated state, and uses this feedback to modify estimation parameters, thereby improving estimation accuracy and preventing repeated inappropriate determinations.
Solution Approach 2:
The patent changes estimation parameters based on collected confirmation results. The adjustment device modifies estimation method parameters dynamically according to the feedback data, adapting the estimation algorithm to better match actual occupant states and reducing determination errors.
2Adaptability or versatility
If multiple occupant state estimating devices are used, then estimation coverage is improved, but determination accuracy decreases due to inconsistent estimation methods
Solution Approach 1:
The patent creates a universal adjustment device that serves multiple occupant state estimating devices. This central adjustment mechanism collects confirmation results and generates adjusted estimation methods that can be applied across all estimating devices, ensuring consistent and accurate determination while maintaining broad estimation coverage.
Solution Approach 2:
The adjustment device uses feedback from confirmation results to harmonize the estimation methods across multiple devices. By continuously adjusting parameters based on actual outcomes, the system ensures that all estimating devices converge toward accurate determination, resolving inconsistencies between different estimation approaches.
Data Source
AI summary
An adjustment device is configured to collect estimation results of the estimated state of the occupant; determine whether or not it is necessary to check the state of the occupant on the basis of the estimation results; determine a behavior of the occupant on the basis of behavior determination information and set the state of the occupant when it is determined that it is necessary to check the state of the occupant; and output adjustment information for causing an occupant state estimating device to adjust a state estimation condition used for estimating the state of the occupant so that the estimation result of the state of the occupant becomes the set state of the occupant.