Adaptive Driver Assistance Feedback Intensity Control
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Solution Overview
Problem
Current driver assistance systems lack a systematic approach to varying the intensity and type of warnings provided to drivers based on their state and the vehicle's condition, leading to suboptimal feedback in critical situations.
Innovation Solution
An advanced driver assistance system incorporating multiple cameras (forward-looking, rear-looking) and a ranging module, along with a processor that gathers and combines environmental and driver state information to determine the intensity of feedback, such as audio, visual, or haptic warnings, based on vehicle parameters stored in a database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver assistance systems provide warnings to drivers, then driver awareness is improved, but the system cannot adapt warning intensity to driver state and vehicle condition
Solution Approach 1:
The system dynamically adjusts warning intensity based on real-time driver state (alertness, stress, fatigue) and vehicle condition (performance, maintenance status). The processor continuously monitors multiple parameters and adapts the feedback intensity accordingly, transforming a static warning system into a dynamic one that responds to changing conditions.
Solution Approach 2:
The system changes multiple parameters simultaneously - driver state parameters (eye closure duration, head pose angle, stress level) and vehicle parameters (engine performance, brake condition, maintenance status) - to determine the optimal warning intensity. This multi-parameter approach enables nuanced adaptation of feedback to match both driver and vehicle conditions.
2Adaptability or versatility
If multiple cameras and sensors are added to monitor driver state and vehicle conditions, then system adaptability is improved, but device complexity increases
Solution Approach 1:
The processor serves multiple functions: it processes camera data for driver state monitoring, analyzes sensor data for vehicle condition assessment, determines warning intensity, and controls feedback delivery. This multi-functionality reduces the need for separate dedicated components for each function, managing system complexity while maintaining high adaptability.
Solution Approach 2:
The system merges driver monitoring and vehicle condition monitoring into a unified feedback system. Both driver state parameters and vehicle parameters are processed together to determine a single composite warning intensity, combining multiple monitoring functions into one integrated system rather than separate independent systems.
3Speed
If warning intensity is increased for critical situations, then driver response is improved, but driver overload may occur
Solution Approach 1:
The system provides feedback to the driver through multiple channels (visual, auditory, haptic) with intensity adjusted based on both the criticality of the situation and the driver's current state. If the driver is already stressed or fatigued, the system modulates feedback intensity to avoid overload while still conveying critical information, creating a closed-loop feedback system that responds to driver reactions.
Solution Approach 2:
The system applies different feedback intensities to different driver states and situation criticalities rather than using a uniform approach. Each driver receives personalized feedback intensity based on their individual state (alert, stressed, fatigued) combined with the specific situation, creating localized optimization for each driver-situation pair.
Data Source
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AI summary
The present invention provides a method and system of historical reaction based driver advanced assistance. In this method, a combination of external environment to a vehicle on which the advanced driver assistance system (ADAS) is mounted fetched by forward looking cameras is combined with rear looking camera for internal environment or driver state, is generated. The generated combination is utilized to analyze is there is any critical situation that is upcoming. For providing feedback for such situation, processor within the ADAS fetches current vehicle state by utilizing multiple parameters stored within a storage. The intensity of the feedback is varied upon the current vehicle state of the vehicle.