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Vision-based driver behavior analysis anti-cheating method

A behavior analysis and driver technology, which is applied in the field of vision-based driver analysis system, can solve the problem of inability to monitor the driver's "evasion" behavior in real time, and achieve the effect of improving supervision and optimizing computing efficiency

Active Publication Date: 2019-09-10
ZHEJIANG LEAPMOTOR TECH CO LTD
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AI Technical Summary

Problems solved by technology

Therefore, none of the existing vehicle vision systems can monitor the driver's "evasion" behavior in real time.

Method used

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  • Vision-based driver behavior analysis anti-cheating method
  • Vision-based driver behavior analysis anti-cheating method
  • Vision-based driver behavior analysis anti-cheating method

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Experimental program
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Embodiment

[0044] Embodiment: A kind of vision-based driver behavior analysis anti-cheating method of this embodiment is based on the infrared vision input of the cab infrared camera to detect potential cheating behavior in the driver behavior analysis process, such as figure 2 As shown, there are four sub-networks in total, and the algorithm logic and process are as follows figure 1 shown.

[0045] The first is infrared supplementary light image preprocessing: mainly including image acquisition parameter configuration such as exposure and gain, image ROI interception and channel interception. The original input is in YUV format, and the Y component data (that is, the brightness channel data) is intercepted and sent to the subsequent deep convolutional neural network.

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Abstract

The invention relates to a vision-based driver behavior analysis anti-cheating method, which comprises the following steps of (1) detecting the shielding of a cab camera, if the shielding detection result of the cab camera is that a scene is normal, executing a step (2), and otherwise, executing the step (3); (2) carrying out false driver detection, infrared blocking glasses wearing detection andinfrared blocking mask wearing detection; 3, calculating the time sequence confidence of each cheating behavior, and defining the category of the cheating behavior; and (4) recording a detection result, and uploading the detection result to a remote management and control platform. According to the method, the cheating means, such as the camera shielding behavior, the false behaviors of using theimages or videos to replace the real drivers, the typical infrared blocking tools, etc., can be accurately identified, the input data reliability guarantee is provided for a driver behavior analysis system based on vision, and the supervision to the safe driving of the automobiles is improved.

Description

technical field [0001] The invention relates to a vision-based driver analysis system, in particular to a vision-based driver behavior analysis anti-cheating method. Background technique [0002] Hundreds of thousands of traffic accidents occur in China every year, and the death toll due to traffic accidents exceeds 100,000. According to the statistics of road traffic accidents, more than half of the traffic accidents are caused by the driver's dangerous behavior or wrong operation. However, most of these human-induced accidents are caused by driver fatigue or distraction. Therefore, the intelligent analysis and early warning system of driving behavior has important application value. The active safety systems of existing passenger cars and commercial vehicles rarely have functions involving driver behavior analysis and reminders. Especially for commercial transport vehicles, long-time and long-distance driving make the above-mentioned dangerous driving situations more li...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/597G06F18/241
Inventor 缪其恒苏志杰陈淑君袁泽峰王江明许炜
Owner ZHEJIANG LEAPMOTOR TECH CO LTD
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