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Artificial intelligence based traffic accident prediction system and method

机译:基于人工智能的交通事故预测系统及方法

摘要

The present invention relates to a system and a method for predicting a traffic accident based on an artificial intelligence, which predict vehicles, people, and roads having a high accident risk by using image recognition and deep learning techniques, and transmit a prediction result to a control center to rapidly take a follow-up action so as to prevent an accident. The system of the present invention comprises: a vehicle system for recognizing an object from an image photographed by a camera, analyzing the recognized object using an artificial intelligence-based accident probability algorithm to predict an accident probability, and transmitting accident prediction data to a control center when the occurrence of an accident is predicted as a result of prediction; and a control center for analyzing the accident prediction data transmitted from the vehicle system, transmitting action information to a relevant institution in accordance with urgency, learning the accident probability using the accident prediction data, and transmitting a learning result to the vehicle system to update the artificial intelligence-based accident probability algorithm.
机译:基于人工智能的交通事故预测系统和方法技术领域本发明涉及一种基于人工智能的交通事故预测系统和方法,其通过使用图像识别和深度学习技术来预测具有高事故风险的车辆,人和道路,并将预测结果发送给车辆。控制中心迅速采取后续行动,以防止发生事故。本发明的系统包括:车辆系统,用于从摄像机拍摄的图像中识别物体,使用基于人工智能的事故概率算法分析识别的物体以预测事故概率,并将事故预测数据传输至控制装置。根据预测结果预测事故发生时居中;控制中心,其分析从车辆系统发送的事故预测数据,根据紧急程度将动作信息发送给相关机构,使用事故预测数据来学习事故概率,并将学习结果发送到车辆系统以更新基于人工智能的事故概率算法。

著录项

  • 公开/公告号KR20190059723A

    专利类型

  • 公开/公告日2019-05-31

    原文格式PDF

  • 申请/专利权人 ATECTN CO. LTD.;

    申请/专利号KR20170157616

  • 发明设计人 KIM SEONG SIK;

    申请日2017-11-23

  • 分类号G08G1/01;G06K9/32;G06N3/02;

  • 国家 KR

  • 入库时间 2022-08-21 11:50:46

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