The invention belongs to the field of traffic accident early warning, and provides a method, a safety helmet and a system for ghost probe traffic accident early warning, and the method comprises the steps: obtaining an interaction sequence based on the data obtained by an electric vehicle rider through employing an SAN-GAN algorithm, and obtaining a ghost probe traffic accident early warning result through employing a pre-trained neural network model; generating hidden feature information of the electric vehicle rider according to the interaction sequence, and predicting a future trajectory of the electric vehicle rider according to the hidden feature information; based on the predicted future trajectory, utilizing an uncertainty position prediction method, introducing a scale factor, and calculating and predicting a collision area between the electric vehicle rider and the dangerous vehicle; based on the collision area, longitudinal and transverse collision danger state judgment is conducted on the electric vehicle rider according to the collision danger state evaluation index, a danger state judgment result is obtained, and early warning information is formed. According to the invention, early warning of ghost probe accidents is realized.
本发明属于交通事故预警领域,本发明提供了一种用于鬼探头交通事故预警的方法、安全头盔和系统,利用SAN‑GAN算法,基于电动车骑行者获取的数据,得到交互序列,利用预训练后的神经网络模型,根据交互序列生成电动车骑行者的隐藏特征信息,根据隐藏特征信息对电动车骑行者的未来轨迹进行预测;基于预测的未来轨迹,利用不确定度位置预测方法,引入比例因子,计算预测电动车骑行者与危险车辆之间的碰撞区域;基于碰撞区域,根据碰撞危险状态评价指标对电动车骑行者进行纵横向碰撞危险状态判断,得到危险状态判断结果,形成预警信息。本发明实现了对鬼探头事故的预警。
Method, safety helmet and system for ghost probe traffic accident early warning
一种用于鬼探头交通事故预警的方法、安全头盔和系统
20.12.2024
Patent
Elektronische Ressource
Chinesisch
Intelligent visual early warning system and method for ghost probe
Europäisches Patentamt | 2024
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