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Driver hand-off steering wheel detection method and system based on depth learning

A technology of deep learning and detection methods, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of inability to warn and alarm dangerous driving behaviors, lack of technical means, etc., to reduce traffic accidents, high detection accuracy, The effect of improving traffic efficiency

Inactive Publication Date: 2018-12-18
BEIHANG UNIV
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Problems solved by technology

At the same time, some commercial vehicles such as large and medium-sized passenger cars in my country have been equipped with monitoring probes, but due to the lack of corresponding technical means, they cannot realize early warning and alarm for dangerous driving behaviors, and cannot really serve the purpose of supervising drivers to drive safely.

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  • Driver hand-off steering wheel detection method and system based on depth learning
  • Driver hand-off steering wheel detection method and system based on depth learning
  • Driver hand-off steering wheel detection method and system based on depth learning

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Embodiment Construction

[0020] The technical solutions in the embodiments of the present invention will be described clearly and completely below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0021] Refer to figure 1 , figure 1 It is a structural block diagram of the driver's hand off the steering wheel behavior detection system based on deep learning of the present invention. In this embodiment, the system includes an image acquisition module, an image processing module, a control module, a speed acquisition module, a GPS module, a GPRS module, and a warning module. The output end of the image acquisition module is connected to the input end of the image processing module. The output ends of the image processing ...

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Abstract

The invention provides a driver hand-off steering wheel detection method based on depth learning, includes the following steps: the image of steering wheel operated by driver is collected in real time, at the same time, the longitude, latitude and speed information of the vehicle are obtained, the image is detected by an operator detection algorithm based on depth learning, the information of thenumber of operators on the steering wheel is obtained, and the information of the number of operators on the steering wheel is combined with the longitude, latitude and speed information of the vehicle to judge whether the vehicle meets the triggering requirement of an early warning signal or not; If the warning signal triggering requirement is met, the warning information is generated to remind the driver. The invention has the functions of real-time detection, early warning and communication, is conducive to timely discovering and prompting the driver to timely correct the behavior of operating the steering wheel in the driving process, and urges the driver to develop a good steering wheel operation habit, which is of great significance for reducing the occurrence of traffic accidents and improving traffic efficiency.

Description

Technical field [0001] The present invention relates to the field of safe driving, and in particular to a method and system for detecting the driver's hand off the steering wheel based on deep learning. Background technique [0002] "Research and Application of Key Technologies for Urban Intelligent Transportation Based on the Internet of Things" major science and technology projects have used the eight-degree-of-freedom research model in the experimental scenarios of straight lines, horizontal curves, level crossing turns, and emergency conditions where vehicles suddenly connect in the horizontal direction. The traffic and safe driving simulator analyzes the determination of abnormal driving behaviors and the risk of traffic accidents. It is concluded that when the hand is away from the steering wheel, the response lag time in emergency situations is close to 2 seconds, and the lag distance is about 30 meters (when the driving speed is 55km / h) ; The swing frequency of the steeri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/08
CPCG06N3/08G06V20/52G06F18/22G06F18/214
Inventor 余贵珍张力王云鹏牛欢张艳飞
Owner BEIHANG UNIV
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