Driving Readiness Calculation Using Manual Driving Ability Estimation
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Solution Overview
Problem
Existing driving consciousness estimation devices fail to accurately calculate driving readiness due to insufficient consideration of individual differences and variations in a driver's manual driving ability, such as fatigue and spatial attention, leading to inaccurate assessments.
Innovation Solution
A driving consciousness estimation device that includes a driver state estimation unit, a manual driving ability estimation unit, and a driving readiness calculation unit, which assesses manual driving ability based on travel state, traveling environment, and driver reaction, allowing for accurate consideration of individual differences and variations, and includes features like lateral side visual recognition time, inattention time, and line of sight position to determine spatial cognitive and action planning abilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driving readiness is calculated based only on driver images without considering manual driving ability, then the calculation process is simple, but the accuracy of driving readiness assessment is insufficient
Solution Approach 1:
The system segments the driving readiness assessment into multiple independent components: driver state estimation (from images), manual driving ability estimation (from travel data), and integration in the calculation unit. This segmentation allows each component to be optimized independently while improving overall accuracy.
Solution Approach 2:
The manual driving ability estimation acts as an intermediary that bridges the gap between simple image-based assessment and comprehensive driving readiness evaluation. It provides additional contextual information about the driver's capabilities that enhances the accuracy of the final assessment.
2Measurement precision
If lateral side visual recognition time is used to estimate spatial cognitive ability, then the assessment becomes more accurate, but the measurement time and complexity increase
Solution Approach 1:
The system performs preliminary estimation of manual driving ability using available travel state data and reaction information before conducting detailed spatial cognitive ability assessment. This preliminary action filters cases that don't require detailed measurement, reducing overall time loss.
Solution Approach 2:
The system applies partial measurement by estimating spatial cognitive ability only when necessary (when another vehicle is not present within predetermined range), rather than continuously measuring all drivers. This selective approach reduces time loss while maintaining accuracy where needed.
3Measurement precision
If manual driving ability is estimated continuously regardless of surrounding vehicles, then the assessment is comprehensive, but erroneous estimation occurs due to external factors
Solution Approach 1:
The system dynamically adjusts the estimation process based on surrounding conditions. When another vehicle is present within the predetermined range, the system suspends or modifies the estimation to avoid erroneous results caused by external factors, making the system adaptable to varying traffic conditions.
Solution Approach 2:
The presence of another vehicle, which could cause erroneous estimation, is converted into a beneficial condition by triggering a suspension of estimation. This prevents false assessments and ensures that manual driving ability is only estimated when conditions are appropriate, improving overall reliability.
Data Source
AI summary
A driving consciousness estimation device includes a driver state estimation unit configured to estimate a state of a driver of a host vehicle, a manual driving ability estimation unit configured to estimate a manual driving ability of the driver based on at least one of a travel state of the host vehicle, a traveling environment around the host vehicle, and a reaction of the driver, and a driving readiness calculation unit configured to calculate a driving readiness relating to a driving consciousness of the driver based on the state of the driver and the manual driving ability of the driver.