Driving Assistance Behavior Modeling Under Driver State Gating
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Solution Overview
Problem
Conventional driving assistance systems face accuracy issues when learning or estimating driving behavior in unsuitable states, such as low wakefulness or high travel difficulty levels, leading to suboptimal performance.
Innovation Solution
An assistance system that determines whether to execute processing based on acquired information items like travel difficulty level, wakefulness level, and driving proficiency level, ensuring that learning or estimation only occurs in suitable conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If learning or estimation is performed in low wakefulness level states, then processing can be executed continuously, but the accuracy of learning or estimation deteriorates
Solution Approach 1:
The system performs preliminary assessment of the driver's wakefulness level and travel difficulty level before executing learning or estimation processing. By evaluating these conditions in advance and suppressing processing when conditions are unsuitable, the system prevents degradation of learning/estimation accuracy while maintaining continuous operation capability through conditional execution control
2Productivity
If learning or estimation is performed in high travel difficulty level states, then processing can be executed continuously, but the accuracy of learning or estimation deteriorates
Solution Approach 1:
The system performs preliminary assessment of the travel difficulty level before executing learning or estimation processing. By evaluating this condition in advance and suppressing processing when travel difficulty is high, the system prevents degradation of learning/estimation accuracy while maintaining continuous operation capability through conditional execution control
3Measurement precision
If the system suppresses processing in unsuitable states, then accuracy is improved, but processing execution time increases due to additional determination steps
Solution Approach 1:
The system performs wakefulness level and travel difficulty level assessments in advance, before learning or estimation processing is requested. This preliminary evaluation establishes determination criteria that enable rapid go/no-go decisions, reducing the time penalty of additional determination steps by preparing assessment results beforehand
Data Source
AI summary
A driving assistance device executes processing relating to a behavior model of a vehicle. Detected information from the vehicle is input to a detected information inputter. An acquirer derives at least one of a travel difficulty level of a vehicle, a wakefulness level of a driver, and a driving proficiency level of the driver on the basis of the detected information that is input to the detected information inputter. A determiner determines whether or not to execute processing on the basis of at least one information item derived by the acquirer. If the determiner has made a determination to execute the processing, a processor executes the processing relating to the behavior model. It is assumed that the processor does not execute the processing relating to the behavior model if the determiner has made a determination to not execute the processing.