Hand-off detection method of steering wheel and lane keeping assisted driving system

Abstract

The invention relates to a steering wheel hand-off detection method, which is characterized in that it comprises: acquiring a hand torque signal; performing windowing processing on the hand torque signal to obtain a set of window data; performing frequency domain analysis on the window data and Calculate the low-frequency signal energy and value; perform time-domain analysis on the window data and calculate the signal mean square error and signal extreme value difference; judge whether the driver is interested in the steering wheel according to the low-frequency signal energy and value, signal mean square error and signal extreme value difference In the hands-off state, if it is, the lane keeping assist driving function will be suppressed. Through the combination of time domain analysis and frequency domain analysis, this method can directly analyze the hand torque signal provided by the electro-hydraulic steering gear, which not only saves the cost, but also improves the accuracy of the judgment results of the steering wheel's hand-off and in-hand status .

Description

technical field [0001] The invention relates to the field of vehicle auxiliary driving, in particular to a steering wheel hand-off detection method and a lane keeping auxiliary driving system. Background technique [0002] At present, the lane keeping assist driving system is regarded as a method for reducing the steering force of the steering wheel to ensure the stability of the steering state, and is widely used in the automotive field. In actual working conditions, when the lane keeping assisted driving function is turned on, it is usually necessary to judge the driver's intention to take over based on the detection results of whether the steering wheel is out of hand or in hand. [0003] Among the related technologies, some directly judge the driver's hands-off or in-hand state of the steering wheel through the capacitive steering wheel, but the cost is very high; others add a torque sensor to the steering gear and analyze the magnitude of the hand torque and its rate of...

AI Technical Summary

Problems solved by technology

[0003] Among the related technologies, some directly judge the driver's hands-off or in-hand state of the steering wheel through the capacitive steering wheel, but the cost is very high; others add a torque sensor to the steering gear and analyze the magnitude of the hand torque and its rate of change. However, this method is easily affected by the outside world, and the accuracy of the results cannot be guaranteed. At the same time, the additional torque sensor also increases additional costs.

From the perspective of the judgment algorithm, it is found that the signal is only processed and judged in the time domain at present, and the analysis dimension of the algorithm is relatively single, which is prone to misjudgment

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