Steering wheel off-hand detection method and lane keeping auxiliary driving system

Abstract

The invention relates to a steering wheel off-hand detection method which is characterized by comprising the following steps: acquiring a hand torque signal; performing windowing processing on the hand torque signal to obtain a group of window data; performing frequency domain analysis on the window data and calculating a low-frequency signal energy sum value; carrying out time domain analysis onthe window data and calculating a signal mean square error and a signal extreme value difference; and judging whether the driver leaves the hand from the steering wheel or not according to the low-frequency signal energy sum value, the signal mean square error and the signal extreme value difference, and if so, inhibiting the lane keeping auxiliary driving function. According to the method, through the mode of combining time domain analysis and frequency domain analysis, analysis can be directly conducted according to the hand torque signals provided by an electro-hydraulic steering engine, the cost is saved, and meanwhile the accuracy of judgment results of the hand leaving state and the hand in-hand state of the steering wheel is improved.

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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