Driving Assist Device User Behavior Deviation Detection
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Solution Overview
Problem
Existing driving assist systems fail to accurately detect when a user's concentration is low or their driving operation deviates from their usual behavior, leading to inadequate measures during such situations.
Innovation Solution
A driving assist device that derives user driving characteristics, determines if the driving operation falls outside these characteristics, and inhibits travel when necessary, using a derivation unit, determination unit, and inhibition unit within a vehicle's in-vehicle network system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driving assist systems use conventional methods to monitor driving operations, then basic driving behavior can be tracked, but they fail to accurately detect when user concentration is low or when driving operations deviate from usual behavior
Solution Approach 1:
The system performs preliminary actions by collecting and storing driving operation data during normal driving conditions to establish baseline characteristics. This preliminary data collection enables the system to later detect deviations from usual behavior without requiring complex real-time analysis infrastructure
Solution Approach 2:
The system implements feedback by continuously comparing current driving operations against established user-specific baseline characteristics. When deviations are detected, the system provides feedback through warnings or interventions, creating a closed-loop monitoring system that adapts to individual driving patterns
2Measurement precision
If the system derives and monitors individual driving characteristics, then detection accuracy of unusual operations improves, but the complexity of data processing and analysis increases
Solution Approach 1:
The system applies self-service by automatically deriving individual driving characteristics from collected data without requiring manual configuration or external intervention. The system autonomously establishes baseline profiles for each user and continuously monitors for deviations, reducing the need for complex external processing infrastructure
Solution Approach 2:
The system focuses on monitoring specific critical driving parameters rather than analyzing all possible driving data. By selectively tracking key operations that indicate concentration levels or unusual behavior patterns, the system achieves high detection accuracy without processing excessive data volumes
3Reliability
If the system implements real-time monitoring and inhibition of unsafe driving operations, then driving safety improves, but the response time and computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing safety thresholds and inhibition criteria based on derived driving characteristics. This preparation enables rapid real-time decision-making without requiring complex computational analysis during critical moments, thus maintaining both safety and fast response times
Data Source
AI summary
A driving assist device is mounted on a vehicle. The driving assist device includes a derivation unit that derives driving characteristics of a user who drives the vehicle, a determination unit that determines, based on the driving characteristics, whether a driving operation by the user corresponds to a driving operation that falls outside the driving characteristics, and an inhibition unit that performs, in a case where the determination unit determines that the driving operation by the user corresponds to a driving operation that falls outside the driving characteristics, control for inhibiting traveling based on the driving operation by the user.