Vehicle Driver Warning Prioritization via Segmentation
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Solution Overview
Problem
Modern vehicles lack effective systems to prioritize driver warnings, often issuing multiple warnings simultaneously that can confuse drivers and reduce their ability to respond appropriately to critical situations.
Innovation Solution
A driver warning system that utilizes sensors and historical data, including crowdsourced information, to prioritize warnings based on threat levels and context, ensuring that the most critical warnings are communicated first, such as through a priority list generated using vehicle-to-vehicle protocols and data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple driver warnings are issued simultaneously, then the driver is informed about multiple hazards, but the driver becomes confused and cannot respond appropriately to critical situations
Solution Approach 1:
The patent segments multiple driver warnings into different priority levels (high, medium, low priority) and issues them sequentially rather than simultaneously. The system divides the warning information stream into discrete priority-based groups, allowing the driver to process critical warnings first before receiving less urgent alerts, thereby preventing information overload and confusion.
Solution Approach 2:
The system changes the parameter of warning issuance from simultaneous to sequential based on priority classification. By altering the temporal parameter (issuance timing) according to the priority parameter of each warning, the system ensures that critical warnings are delivered first, maintaining driver response capability while still communicating all necessary hazard information.
2Loss of information
If multiple warnings are issued at once, then comprehensive hazard information is provided, but the criticality of individual warnings is lost
Solution Approach 1:
The patent segments the warning system into distinct priority categories (high, medium, low) that clearly differentiate the criticality of each hazard. This segmentation allows the system to maintain complete hazard information while simultaneously providing precise criticality differentiation through the structured priority framework.
Solution Approach 2:
The system applies a priority parameter transformation to each warning, converting raw hazard data into priority-classified alerts. This parameter change enables the system to preserve complete hazard information while adding a criticality dimension that helps the driver understand which warnings require immediate attention.
3Ease of operation
If a priority-based warning system is implemented, then driver response to critical hazards is improved, but the system complexity increases
Solution Approach 1:
The patent implements preliminary classification of warnings into priority levels before they are issued to the driver. By pre-segmenting warnings based on their criticality and preparing them in priority order, the system simplifies the real-time decision-making process during warning issuance, reducing the operational complexity at the moment of driver interaction while maintaining effective response capability.
Data Source
AI summary
The disclosure is generally directed to systems and methods for prioritizing driver warnings in a vehicle. In one example, a first sensor in the vehicle may detect a first driving event, such as, for example, another vehicle that is traveling in a blind spot of the driver. A second sensor in the vehicle may detect a second driving event, such as, for example, that the driver of the vehicle is tailgating another vehicle. A driver warning system in the vehicle produces a driver warning based on prioritizing one of the two driving events. For example, the driver warning system may prioritize a warning pertaining to the tailgating action over a warning pertaining to the vehicle moving in the blind spot. In some cases, the prioritization may be carried out by using historical information about the two driving events.