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Driving behavior detection method based on linear frequency modulation continuous wave radar

A linear frequency modulation and detection method technology, applied in the field of radar, can solve problems such as poor anti-interference ability, visual information influence, and inability to effectively protect driver privacy, etc., to achieve the effect of protecting privacy and strong anti-interference ability.

Pending Publication Date: 2021-06-01
NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, changes in the environment, such as light intensity and darkness, will affect the collection of visual information. In addition, the collection of visual information will inevitably involve personal privacy issues.
[0004] It can be seen from the above that the existing detection methods have poor anti-interference ability, affect the driver's normal driving behavior, and cannot effectively protect the driver's privacy

Method used

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  • Driving behavior detection method based on linear frequency modulation continuous wave radar
  • Driving behavior detection method based on linear frequency modulation continuous wave radar
  • Driving behavior detection method based on linear frequency modulation continuous wave radar

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Experimental program
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Embodiment

[0090] A method for detecting driving behavior based on chirp continuous wave radar, comprising the following steps:

[0091] Step 1. In image 3 In the experimental scene of , there are 7 driving behaviors measured in the experiment, (a) the subject's head tilted forward at a certain angle; (b) the subject raised his head after the initial head tilted forward; ( c) The subject's head is tilted back; (d) The subject's neck is rotated; (e) The subject's head and upper body move forward without bending downward at an angle; (f) The subject's up and down Shaking behavior; (g) The action of the subject picking up the mobile phone. There are 6 subjects in the experiment, each action is performed 15 times, and finally 630 packets of data are obtained.

[0092] Step 2, preprocessing the collected radar echo signal, specifically: performing DC removal processing on the radar signal, and then performing fast Fourier transform in the fast time domain to obtain a time-distance distribu...

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Abstract

The invention discloses a driving behavior detection method based on a linear frequency modulation continuous wave radar. The method comprises the steps: collecting driving behavior information through the linear frequency modulation continuous wave radar, carrying out the preprocessing of a radar signal, and extracting a time Doppler time-frequency diagram of a driving behavior radar echo signal; determining a mapping model between the driving behavior and the time Doppler time-frequency graph of the corresponding radar echo signal by using a convolutional neural network; and finally, according to the mapping model, performing driving behavior detection on the subject. The method is reliable in performance, and can accurately detect the driving behavior.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a driving behavior detection method based on linear frequency modulation continuous wave radar. Background technique [0002] Driving is an important component of modern society, and negligent driving has always been one of the main causes of car accidents. More than 20% of car accidents are caused by negligent driving, so it is of great significance to detect the driver's attention. [0003] At present, the research on driving behavior detection mainly falls into the following three categories: (1) Detection based on physiological signals. By detecting the driver's physiological indicators, such as brain waves, heart rate and pulse, etc., the driving behavior can be effectively supervised. Usually, the driver needs to attach corresponding physiological information collection equipment, such as some electrodes that are in direct contact with the skin, which will bring serious disc...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G01S7/41G01S13/91
CPCG01S7/418G01S7/417G01S7/415G01S7/414G01S13/91G06V20/597G06F2218/02G06F2218/12G06F18/24G06F18/214
Inventor 洪弘徐小明李彧晟熊俊军丁传威马悦冯晨孙理顾陈朱晓华
Owner NANJING UNIV OF SCI & TECH