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Front car door opening detection method and device based on deep learning yolov3 algorithm
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A deep learning and detection method technology, applied in the field of vehicles, can solve problems such as lack of vehicles and easy to cause traffic accidents, and achieve the effect of reducing the error rate
Active Publication Date: 2022-02-18
GUANGZHOU UNIVERSITY
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Because the driver of a motor vehicle is driving on the road, his attention is mostly concentrated on the vehicle in motion, and it is easy to ignore the vehicle parked on the side of the road. Whether the vehicle is about to open the door or the driver or passenger parked on the side of the road fails to pay attention to the vehicle coming from behind when opening the door, which may easily cause traffic accidents
[0003] However, during the research and practice of the prior art, the inventors of the present invention have found that most of the existing door opening detection methods start from the driver himself who parks, and use the camera to capture the surroundings of the car at the moment when the driver is about to open the door. The environment, especially the rear data, is used to determine whether opening the door is dangerous. There is a lack of a solution that can predict the danger of vehicles in the same lane or near the lane ahead preparing to open the door.
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no. 1 example
[0044] see figure 1 .
[0045] Such as figure 1 As shown, the method for detecting the opening of the front car door based on the deep learning YOLOv3 algorithm provided by this embodiment is suitable for execution in a computer device, and at least includes the following steps:
[0046] S101. Input the video stream of the road conditions ahead collected in real time by the camera equipment into the pre-built detection model;
[0047] S102. Perform image recognition on the video stream, and capture image information of the vehicle in front;
[0048] S103. According to the image information, determine whether a door of the vehicle in front is closed.
[0049] Preferably, the method for detecting the opening of the front vehicle door based on the deep learning YOLOv3 algorithm further includes: if not, triggering an early warning.
[0050] For step S101, the imaging device includes a smart phone, a driving recorder, and a vehicle camera; the vehicle in front is a vehicle ahe...
no. 2 example
[0074] see image 3 .
[0075] Such as image 3 As shown, the present embodiment also provides a front vehicle door opening detection device based on deep learning YOLOv3 algorithm, including:
[0076] The input module 301 is used for inputting the video stream of the front road conditions collected by the camera equipment in real time into the pre-built detection model
[0077] Preferably, the camera device includes a smart phone, a driving recorder, and a vehicle camera; the vehicle in front is a vehicle ahead in the same lane or in an adjacent lane; the image information includes vehicle type, frame position and category probability.
[0078] Preferably, the construction steps of the detection model are:
[0079] Obtain the image of the door opening of the front vehicle in the same lane or near the lane from the BDD-100K database;
[0080] According to the deep learning YOLOv3 algorithm, the image is preprocessed;
[0081] Perform detection model training on the prepro...
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Abstract
The invention discloses a method and device for detecting the opening of a front car door based on deep learning YOLOv3 algorithm. The method includes: inputting the video stream of the front road conditions collected by the camera equipment in real time into a pre-built detection model; performing image recognition on the video stream , capture the image information of the vehicle in front; judge whether the door of the vehicle in front is closed according to the image information; if not, trigger an early warning. The present invention can predict in real time and with high precision the danger of the vehicle in front of the same lane or the approaching lane preparing to open the door and issue an early warning, the error rate of misdetection can be reduced by more than half, and the global information and end‑to‑to‑of the image can be directly learned end training.
Description
technical field [0001] The invention relates to the field of vehicle technology, in particular to a method and device for detecting opening of a front vehicle door based on a deep learning YOLOv3 algorithm. Background technique [0002] With the increasing density of motor vehicles, the frequency of traffic accidents also increases. Because the driver of a motor vehicle is driving on the road, his attention is mostly concentrated on the vehicle in motion, and it is easy to ignore the vehicle parked on the side of the road. Whether the vehicle is about to open the door or the driver or passenger parked on the side of the road fails to pay attention to the vehicle coming from behind when opening the door, which may easily cause traffic accidents. [0003] However, during the research and practice of the prior art, the inventors of the present invention have found that most of the existing door opening detection methods start from the driver himself who parks, and use the came...
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