Forward Collision Warning Thresholds Based on Driver Attentiveness
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Solution Overview
Problem
Existing vehicle safety systems do not effectively adjust collision warning thresholds based on driver attentiveness, leading to potential collisions due to driver distraction.
Innovation Solution
A system that utilizes sensors to determine a driver's gaze angle and attentiveness value, adjusting the forward collision warning system's activation threshold accordingly to provide timely warnings and prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the forward collision warning system uses a fixed activation threshold, then the system is simple to operate, but it cannot adapt to varying driver attentiveness levels leading to potential collisions
Solution Approach 1:
The patent implements a dynamic activation threshold that automatically adjusts based on real-time driver attentiveness monitoring. The system transitions from a static fixed threshold to a dynamic adaptive threshold that changes according to driver gaze angle and attentiveness level, resolving the contradiction between reliability and complexity by making the system adaptable rather than fixed
Solution Approach 2:
The system incorporates continuous feedback loops where sensors monitor driver attentiveness, the processor determines gaze angle and attentiveness value, and the activation threshold is adjusted accordingly. This closed-loop feedback mechanism enables the system to adapt to varying driver states, improving collision warning effectiveness while managing complexity through automated adjustment
2Measurement precision
If the system monitors driver gaze angle continuously, then driver attentiveness is accurately detected, but the device complexity increases
Solution Approach 1:
The patent employs a multi-functional sensor system where a single camera unit serves multiple purposes: capturing driver facial images for gaze angle determination, detecting driver presence, and monitoring overall driver state. This multi-functionality approach achieves precise gaze angle measurement while minimizing the increase in device complexity by avoiding multiple specialized sensors
Solution Approach 2:
The system introduces an intermediary processing layer that translates complex sensor data into simplified attentiveness values and gaze angles. The processor acts as an intermediary that converts raw camera data through facial feature detection and geometric calculations into meaningful metrics, reducing the complexity burden on the overall system while maintaining measurement precision
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances safety by providing adaptive collision warnings based on driver focus, reducing the likelihood of accidents by increasing reaction time and maintaining safe vehicle gaps.
Implementation Method 1
The plurality of sensors includes at least a time-of-flight camera with a field of view of an interior of a vehicle. The time-of-flight camera determines a direction in which the driver is looking, a head position of the driver, a body position of the driver, or a combination thereof to determine the gaze angle.
Data Source
AI summary
A system for controlling a forward collision warning system based on a driver attentiveness value is provided. The system includes a plurality of sensors and an electronic processor. The electronic processor is configured to determine a gaze angle of a driver using the plurality of sensors; determine a driver attentiveness value based on the gaze angle; determine a forward collision warning system activation threshold based on the driver attentiveness value; and selectively activate the forward collision warning system based on the forward collision warning system activation threshold.