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Highway real-time early warning method and system based on deep learning

A technology of expressway and deep learning, applied in the direction of neural learning method, road vehicle traffic control system, collision avoidance system, etc. Issues such as safety and slow identification of traffic accidents

Active Publication Date: 2021-05-14
山东奥邦交通设施工程有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, secondary accidents occur frequently, and the losses caused by them are often more serious than those of one accident, which directly threatens the life safety of first-time accident survivors, accident rescuers and on-site survey personnel.
[0005] The inventor found that the current existing traffic accident recognition speed is slow, and the traffic accidents in the expressway cannot be dealt with in time, thus seriously endangering people's lives and property

Method used

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  • Highway real-time early warning method and system based on deep learning
  • Highway real-time early warning method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Such as figure 1 As shown, the deep learning-based expressway real-time early warning method of the present embodiment, the method is implemented in the smart chip, including:

[0048] S101: Acquire real-time video data in multiple directions of the expressway.

[0049] For example: Get real-time video data of four directions of the highway.

[0050] S102: Simultaneously identify real-time video data from multiple directions based on the neural network model in the smart chip, and obtain a highway event identification result.

[0051] In this embodiment, the smart chip includes:

[0052] The video input module is used to receive real-time video data in multiple directions of the expressway;

[0053] The video processing subsystem module is used to decompose the real-time video data in multiple directions of the highway into basic video data and extended video data;

[0054] The intelligent video engine module is used to convert the image frame data in the current ex...

Embodiment 2

[0091] Such as figure 2 As shown, the present embodiment provides a deep learning-based expressway real-time early warning system, which includes:

[0092] A video data acquisition module, which is used to acquire real-time video data in multiple directions of the expressway;

[0093] An event recognition module, which is used to simultaneously recognize real-time video data in multiple directions based on the neural network model in the smart chip, and obtain a highway event recognition result;

[0094] The event early warning module is used to send an early warning signal to the early warning device according to the highway event recognition result, and at the same time send the early warning signal to the background server, and the background server sends the early warning signal to the early warning area client for driving guidance.

[0095] What needs to be explained here is that each module in the deep learning-based expressway real-time early warning system of this em...

Embodiment 3

[0097] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the deep learning-based real-time expressway early warning method described in the first embodiment above are implemented.

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Abstract

The invention belongs to the field of highway early warning, and provides a highway real-time early warning method and system based on deep learning. The highway real-time early warning method based on deep learning is implemented in an intelligent chip, and comprises the following steps: acquiring real-time video data of a highway in multiple directions; based on a neural network model in the intelligent chip, recognizing real-time video data in multiple directions at the same time to obtain a highway event recognition result; and sending an early warning signal to an early warning device according to the highway event recognition result, sending the early warning signal to a background server, and sending the early warning signal to an early warning area client by the background server for driving guidance.

Description

technical field [0001] The invention belongs to the field of expressway early warning, in particular to a deep learning-based expressway real-time early warning method and system. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Due to the influence of various uncertain factors, various traffic accidents often occur in the actual operation of the expressway, which has a serious impact on the operation and safety management of the expressway. Highway serial collision accidents are not uncommon, many of which are caused by vehicles not slowing down in time in heavy fog. The expressway accident warning system is set up to ensure the safety of driving on the expressway. [0004] The rapid development of expressways has provided good driving conditions for vehicle operations, greatly improved road traffic conditions, and brought convenience to...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/16G06K9/00G06N3/08
CPCG08G1/0104G08G1/0125G08G1/166G06N3/08G06V20/41
Inventor 杨哲王晓东耿健王大鹏孙思芹于文强袁继伟
Owner 山东奥邦交通设施工程有限公司