Lane Departure Warning Intensity Based on Driver Attention
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Solution Overview
Problem
Existing driving support systems fail to accurately and simply output alarms when a vehicle is likely to depart from its lane, especially when the driver is not attending to the road or steering.
Innovation Solution
A driving support device that uses image processing to determine notification intensity based on the vehicle's position relative to lane markings and the driver's attention, outputting alarms with varying intensities through a notifier device, considering the driver's intention and surrounding vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alarm output is suppressed when lane departure prevention control is active, then false alarms are reduced, but alarm accuracy deteriorates
Solution Approach 1:
The system changes the parameter of alarm output by introducing a multi-level alarm intensity system (first intensity, second intensity, third intensity) based on the driver's attention state. When the driver is paying attention, alarms are suppressed or reduced in intensity. When the driver is not paying attention, alarms are output at higher intensities. This resolves the contradiction by dynamically adjusting alarm parameters rather than simply suppressing or outputting alarms.
Solution Approach 2:
The system uses a camera to detect the driver's attention state (whether the driver is paying attention to the road) and provides feedback to the alarm control logic. This feedback mechanism allows the system to adaptively adjust alarm output based on real-time driver state, ensuring alarms are accurate and appropriate while reducing false alarms during active lane departure prevention control.
2Reliability
If alarm intensity is increased to improve driver awareness, then safety is improved, but driver distraction increases
Solution Approach 1:
The system dynamically adjusts alarm intensity based on the driver's attention state. When the driver is detected to be paying attention, the alarm intensity is reduced or suppressed. When the driver is not paying attention, the alarm intensity is increased. This dynamic adjustment resolves the contradiction by making alarm intensity adaptive rather than fixed, improving awareness only when necessary while minimizing distraction when the driver is already attentive.
3Measurement precision
If lane departure detection is enhanced, then detection precision is improved, but system complexity increases
Solution Approach 1:
The system uses a camera to perform multiple functions: detecting the driver's attention state, detecting lane markings, and detecting surrounding vehicles. By making the camera a multi-functional sensor, the system achieves enhanced lane departure detection precision without proportionally increasing system complexity. The same hardware resource serves multiple detection purposes.
Solution Approach 2:
The system combines lane departure detection, driver attention detection, and surrounding vehicle detection into a unified control logic that adjusts alarm output based on multiple factors. By merging these detection functions and their control logic into an integrated system, the complexity is managed through consolidation rather than separate independent systems.
Data Source
AI summary
A driving support device is detachably attached to a vehicle via a detachable member and performs: acquiring one or more images obtained by imaging a surrounding situation of the vehicle; and determining a notification intensity of a notification for a driver of the vehicle on the basis of a change of a target in the one or more images when it is predicted on the basis of information acquired from the one or more images that the vehicle is to depart from a traveling lane in which the vehicle is traveling and causing a notifier to output a notification of the determined notification intensity.