Abnormal Driving Alerts With Adaptive Driver-Specific Thresholds
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Solution Overview
Problem
Conventional vehicle safety systems fail to adjust notification sensitivity based on individual driver preferences, leading to overaction or underreaction, which reduces driver confidence and effectiveness over time.
Innovation Solution
A customizable abnormal driving system that uses a processor and memory to determine abnormal driving maneuvers, generate notifications, and alter notification thresholds based on driver reactions and inputs, allowing for personalized sensitivity adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed notification threshold is used in abnormal driving detection systems, then the system structure remains simple and easy to implement, but the system cannot adapt to individual driver preferences leading to overaction or underreaction
Solution Approach 1:
The notification threshold is transformed from a static fixed value to a dynamic adjustable parameter. The system automatically adjusts the threshold based on detected driver reactions (such as braking, steering corrections, or attention changes) when abnormal driving is detected, enabling the threshold to adapt to individual driver preferences and behaviors while maintaining system effectiveness.
Solution Approach 2:
The system implements a feedback mechanism where driver reactions to notifications are monitored and used to adjust future notification behavior. When a driver reacts strongly to a notification (indicating the abnormal driving was significant), the system learns to maintain or lower the threshold for that driver, reducing overaction. This creates a closed-loop system that continuously optimizes notification sensitivity based on actual driver responses.
2Reliability
If notification thresholds are adjusted based on driver reactions, then driver confidence and system effectiveness increase, but the complexity of monitoring and adjusting thresholds increases
Solution Approach 1:
The system performs self-adjustment of notification thresholds without requiring manual driver input or complex configuration interfaces. The system autonomously monitors driver reactions, analyzes patterns, and automatically modifies thresholds accordingly. This self-service approach builds driver confidence through personalized adaptation while avoiding the complexity of manual tuning mechanisms.
Solution Approach 2:
The patent replaces manual threshold adjustment mechanisms (mechanical/direct control) with an automated electronic system that uses sensor data and processing algorithms to dynamically adjust thresholds. This substitution eliminates the need for physical adjustment controls or complex user interfaces, reducing operational complexity while improving reliability through consistent automated adaptation.
Data Source
AI summary
The disclosure generally relates to a system comprising a memory and a processor configured to access the memory and execute the machine-executable instructions stored on the memory to determine that a target vehicle is engaging in an abnormal driving, determine that the abnormal driving exceeds a notification threshold parameter of an abnormal driving notification system, generate a notification, and monitor the ego vehicle and/or driver to alter notification threshold values based on the reactions of the ego vehicle and/or driver inputs.