Driving state identification method based on approximate entropy template matching
A driving state and template matching technology, applied in the field of driving state recognition, can solve problems such as the impossibility of predicting real-time road conditions
Active Publication Date: 2017-09-26
陕西智慧路衡电子科技有限公司
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Although the driver may know the macro situation of the next road section, it is impossible to predict the real-time road conditions at the next moment. The real-time information of the road determines the driver's operation actions, and then determines the vehicle driving status information
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[0123] Such as figure 1 A driving state identification method based on approximate entropy template matching is shown, comprising the following steps:
[0124] Step 1. Establishment of the sample library: the data processor 2 is used to establish the sample library. There are two types of samples stored in the established sample library. For the multiple steering wheel angle signals measured, another type of sample is a dangerous driving state sample and this type of sample includes multiple steering wheel angle signals under the dangerous driving state of the monitored driver;
[0125] Step 2, road information stripping based on approximate entropy template matching: using the data processor 2 and invoking a signal correction module based on approximate entropy template matching to correct each steering wheel angle signal in the sample library, and correcting all steering wheel angle signals The methods are all the same; when any one of the steering wheel angle signals x(t) ...
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The invention discloses a driving state identification method based on approximate entropy template matching. multiple steering wheel angle signals in the state of dynamic driving; 2. Road information stripping based on approximate entropy template matching: call the signal correction module based on approximate entropy template matching to correct each steering wheel angle signal in the sample library; any steering wheel When the corner signal is corrected, the process is as follows: steering wheel corner signal empirical mode decomposition, eigenmode function component validity identification and signal reconstruction; 3. Feature extraction; 4. Classification model establishment and training; 5. Driving status information Acquisition and simultaneous classification. The method of the invention has the advantages of simple steps, reasonable design, easy implementation and good use effect, and can accurately identify the driving state of the driver simply and quickly, and has high identification accuracy.
Description
technical field [0001] The invention belongs to the technical field of driving state identification, in particular to a driving state identification method based on approximate entropy template matching. Background technique [0002] Traffic accidents on the road are the result of the interaction of factors such as people, vehicles, roads, and the environment, and the driver is the most active factor affecting traffic safety. A traffic accident appears to be an accidental phenomenon on the surface, but in essence it is an instability phenomenon caused by the closed-loop system formed by the driver-vehicle-environment because it cannot respond to the sudden change of working conditions encountered. Through the investigation of a large number of evidence of collision marks and vehicle remains left at the scene of traffic accidents, combined with questionnaire surveys of survivors, researchers from Indiana University in the United States came to the conclusion that about 90% of...
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IPC IPC(8): G06K9/00
CPCG06F2218/00G06F2218/12
Inventor 赵栓峰
Owner 陕西智慧路衡电子科技有限公司