A Steering Wheel Angle Statistical Feature Fusion Method for Fatigue State Recognition
A technology of steering wheel angle and statistical features, applied in character and pattern recognition, computing, computer parts and other directions, can solve problems such as poor system stability and poor generalization ability, achieve high engineering generalization ability, and facilitate engineering realization , to overcome the effect of instability
Active Publication Date: 2022-04-29
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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[0004] The invention provides a steering wheel angle statistical feature fusion method for fatigue state identification, and the technical problem to be solved is: the existing fatigue state identification method based on the steering wheel angle statistical feature directly uses one or more fixed statistical characteristics as a system Input, poor generalization ability, poor system stability
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[0046] The embodiment of the present invention will be explained in detail below in conjunction with the accompanying drawings. The examples given are only for the purpose of illustration, and cannot be interpreted as limiting the present invention. The accompanying drawings are only for reference and description, and do not constitute the scope of patent protection of the present invention. limitations, since many changes may be made in the invention without departing from the spirit and scope of the invention.
[0047] In order to overcome the instability and poor generalization ability caused by the direct use of one or more statistical indicators in the prior art, the embodiment of the present invention provides a steering wheel angle statistical feature fusion method for fatigue state recognition, such as figure 1 shown, including steps:
[0048] S1. Collect steering wheel angle time series and vehicle speed time series in real time according to the set sampling frequency...
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The invention relates to the field of intelligent driving technology, and specifically discloses a steering wheel angle statistical feature fusion method for fatigue state recognition. First, the steering wheel angle time series and vehicle speed time series are collected in real time, and the steering wheel angle time series is processed according to a set threshold. Filter processing to obtain effective sample data; then calculate the statistical characteristics of fixed-length samples according to the set time window size; finally form the statistical characteristic matrix from the calculated statistical characteristics, and calculate the characteristic root of the statistical characteristic matrix, and finally extract the satisfying The characteristic root of the condition is used as the fusion index vector of the statistical characteristics of the steering wheel angle of the driver. The invention fuses multiple statistical features of the steering wheel angle, overcomes the instability caused by the direct use of one or more statistical indicators in the prior art, and can effectively support the stable identification of the driver's fatigue state under real vehicle conditions , showing high engineering generalization ability to different drivers.
Description
technical field [0001] The invention relates to the technical field of intelligent driving, in particular to a method for fusion of statistical features of steering wheel angles for fatigue state recognition. Background technique [0002] Fatigue driving is an important cause of traffic accidents. Steering wheel angle data can directly reflect the driver's steering operation characteristics in real time, and is an important data that objectively and accurately reflects the driver's operation rules. Driver fatigue state detection based on steering wheel angle information has become a hot research topic and one of the main technologies in the field of automotive active safety. [0003] Under actual vehicle conditions, due to long-term driving operations, the driver will be in a state of mental and physical fatigue, resulting in a decline in the driver's ability to perceive the road environment, the ability to judge the situation, and the ability to control the vehicle. The t...
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IPC IPC(8): G07C5/08G06K9/62
CPCG07C5/0808G06F18/2411G06F18/214G06F18/253
Inventor 李作进聂玲柏俊杰陈刘奎周伟
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY