Driving behavior analysis, recognition and warning system based on deep learning and recognition method thereof

A behavior analysis and deep learning technology, applied in neural learning methods, character and pattern recognition, alarms, etc., can solve problems such as inaccuracy and inability to provide reference for safe driving behaviors, so as to reduce the possibility, reduce traffic accidents, The effect of ensuring travel safety

Inactive Publication Date: 2020-11-20
NANJING UNIV OF POSTS & TELECOMM
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  • Claims
  • Application Information

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Problems solved by technology

However, this method is often not accurate enough. In many cases, it can only be analyzed

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  • Driving behavior analysis, recognition and warning system based on deep learning and recognition method thereof
  • Driving behavior analysis, recognition and warning system based on deep learning and recognition method thereof
  • Driving behavior analysis, recognition and warning system based on deep learning and recognition method thereof

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Embodiment Construction

[0043] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0044] The present invention provides a driving behavior analysis, recognition and warning system based on deep learning, which includes an Azure Kinect camera with the function of generating depth images TOF (Time Of Flight) and a data analysis module, and the data analysis module includes a terminal device Jetson Nano with an edge computing function And the voice module for reminding and broadcasting, the Azure Kinect camera is used to collect the driver's three-dimensional space information, and the terminal device Jetson Nano is used to analyze and judge the driving behavior based on the collected driver's three-dimensional space information.

[0045] The Azure Kinect camera includes a light emitting device, a light source driver, a receiving lens, a TOF sensor chip, a TOF chip driver and a TOF main controller. The light source driver contro...

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Abstract

The invention discloses a driving behavior analysis, recognition and warning system based on deep learning and a recognition method thereof. The system comprises a camera with a depth image generationfunction and a data analysis module, wherein the data analysis module comprises terminal equipment with an edge calculation function and a voice module used for reminding broadcasting, the camera isused for collecting three-dimensional space information of a driver, and the terminal equipment is used for analyzing and judging driving behaviors according to the collected three-dimensional space information of the driver. The depth image technology, the improvement of the convolutional neural network and the design of the edge system are adopted, the data analysis module is constructed, the behaviors of the driver and the passengers are analyzed and classified, the driving behaviors are recognized in real time, and the driver is warned, so that the problems of fatigue driving and dangerousdriving of the driver are solved, the possibility of traffic accidents caused by non-standard behaviors of the driver is reduced, and the travel safety is guaranteed to the maximum extent.

Description

technical field [0001] The invention belongs to the field of vehicle driving behavior recognition, and in particular relates to a driving behavior analysis, recognition and warning system based on deep learning and a recognition method thereof. Background technique [0002] With the development of the automobile industry, car accidents occur frequently. How to reduce the frequency of traffic accidents and improve people's travel safety is a problem that needs to be solved emphatically. At the same time, in recent years, frequent safety issues of online car-hailing have also attracted the attention of the public. Therefore, it is particularly important to be able to obtain the driving behavior of the driver at any time. With the research of science and technology, some technologies can know the driving behavior of the driver, such as obtaining the driving information of the vehicle and uploading it through the vehicle's own sensors. However, this method is often not accura...

Claims

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Application Information

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IPC IPC(8): G08B21/02G08B21/24G08B3/10G01B11/24G06K9/00G06N3/04G06N3/08
CPCG08B21/02G08B21/24G08B3/10G01B11/24G06N3/08G06V20/46G06V20/597G06N3/045
Inventor 沈澍杨明刘小雨
Owner NANJING UNIV OF POSTS & TELECOMM
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