Vehicle Launch Warning Using Driver Attention and Signal Timing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional vehicle-launching warning systems cause excessive disturbance to drivers by sending unnecessary warnings, as they trigger warnings based solely on the movement of the vehicle in front, without considering the driver's attentiveness or the timing and feasibility of passing through the next traffic light, leading to inefficiencies and potential road congestion.
Innovation Solution
A vehicle-launching warning device that acquires traffic light and driver status information, determines the attentiveness of the driver, and generates a warning command only when the target traffic light is about to turn green and the driver is not attentive enough, using a human-machine interface to provide tailored warnings to minimize interruptions and optimize timing and frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional warning systems trigger warnings based solely on the movement of the vehicle in front, then the warning function is simple to implement, but excessive disturbance is caused to the driver due to unnecessary warnings
Solution Approach 1:
The warning system dynamically adjusts its behavior based on real-time detection of driver state (attentive vs. unattentive). When the driver is detected as unattentive, the system activates warning functionality; when attentive, it remains inactive. This dynamic adaptation resolves the contradiction by making the system simple yet context-aware.
Solution Approach 2:
The system changes the parameter of warning activation based on driver state detection. Instead of fixed activation based solely on preceding vehicle movement, the activation parameter is modified by incorporating driver attentiveness detection, thereby reducing unnecessary warnings while maintaining simplicity.
2Reliability
If warnings are sent whenever the vehicle in front launches to move, then the warning coverage is maximized, but unnecessary warnings cause excessive disturbance and inefficiency
Solution Approach 1:
The system performs preliminary detection of driver state before triggering the warning function. By detecting whether the driver is unattentive in advance, the system ensures that warnings are only sent when both the preceding vehicle moves and the driver needs assistance, thereby maximizing effective warning coverage while minimizing disturbance.
Solution Approach 2:
The system incorporates feedback from driver state detection to modulate warning output. The warning function receives feedback about driver attentiveness and adjusts its behavior accordingly, sending warnings only when the driver is unattentive, thus maintaining high reliability while reducing harmful disturbance.
3Measurement precision
If the system considers driver attentiveness and target traffic light status, then warning accuracy is improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating driver state detection, traffic light status monitoring, and warning control into a unified system. This universal approach allows the system to improve warning accuracy through multiple parameters without proportionally increasing complexity, as these functions are coordinated through a single control logic.
Solution Approach 2:
The system performs preliminary detection and analysis of driver state and traffic light status before generating warnings. This preliminary action allows the system to accurately determine when warnings are needed, improving warning precision while managing complexity through structured pre-processing of information.
Data Source
AI summary
A vehicle-launching warning device including an acquiring module acquiring traffic light information and driver status information and some or all of: location information, status and navigation of a vehicle, map information, status information of a preceding vehicle, and environmental information; a processing module processing the acquired information to determine whether a target traffic light is at the end of a red light signal and whether a driver's degree of attentiveness is high enough for driving, the target traffic light being a next traffic light in a travelling direction of the vehicle after passing through a current traffic light; a determining module generating a warning command if it is determined the target traffic light is at the end of a red light signal and the driver's degree of attentiveness is not high enough for driving; and an outputting module outputting the warning command to a human machine interface (HMI).