Driving Assistance Device Warning Logic for Lane Deviation
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Solution Overview
Problem
Existing driving assistance systems face challenges in accurately predicting lane deviation due to blurred white lines or degraded recognition accuracy, leading to increased erroneous warnings and potential driver frustration.
Innovation Solution
A driving assistance device that issues warnings based on both the magnitude of driving state parameters exceeding predetermined limits and the behavior of the vehicle approaching the lane edge, ensuring a high probability of lane deviation, thereby reducing the likelihood of erroneous notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system issues warnings based on predicted lane deviation using acquired lane edge information, then the warning function is activated, but the accuracy of prediction degrades when white lines are blurred or recognition accuracy is degraded, leading to erroneous warnings
Solution Approach 1:
The system performs preliminary action by checking whether the host vehicle is currently traveling near a lane edge before issuing warnings for future lane deviation. This preliminary check using current lane edge information from the camera sensor prevents erroneous warnings when lane markings are blurred or recognition accuracy is degraded, as the warning is only issued when both current lane edge position and future deviation probability are confirmed
Solution Approach 2:
The system introduces an intermediary condition (current lane edge proximity check) between the prediction calculation and warning issuance. This intermediary step acts as a mediator that validates the reliability of lane edge information before triggering warnings, reducing false positives when white lines are blurred while maintaining accurate warnings when recognition is reliable
2Loss of time
If the system calculates deviation prediction time using far-ahead lane curvature, then forward prediction capability is enabled, but the frequency of erroneous warnings increases when lane edge acquisition is inaccurate
Solution Approach 1:
The system performs preliminary validation by checking current lane edge proximity before issuing warnings based on predicted deviation time. This preliminary check ensures that warnings are only issued when the vehicle is actually near a lane edge, preventing erroneous warnings that would occur if lane edge information is inaccurate, while still maintaining the time-based prediction capability
Solution Approach 2:
The system uses feedback by continuously monitoring current lane edge position and using it to validate whether predicted deviations are genuine threats. The current lane edge information serves as feedback that confirms or refutes the prediction, reducing erroneous warnings when far-ahead lane curvature data is unreliable while maintaining effective warnings when data is accurate
Data Source
AI summary
A driving assistance device includes an ECU configured to make a warning unit issue the warning to a driver, when a first condition and a second condition are both satisfied. The first condition is a condition that there is a possibility that the host vehicle deviates from a deviation-side traveling lane edge specified by one of right and left lane division lines when LKA is executed. The second condition is a condition that behavior of the host vehicle approaching the deviation-side traveling lane edge occurs at the current position of the host vehicle at at least one point of time of a first point of time at which determination is made that the first condition is satisfied and a third point of time in a period from the first point of time to a second point of time after a predetermined time elapses.