The invention relates to a driver distraction fine grit monitoring method and system. The method comprises the steps of: obtaining the time series data of a driver and a driver distraction monitoringmodel; adopting the driver distraction monitoring model to obtain a prediction vector according to the time series data of the driver; and determining the distraction state of the driver according tothe prediction vector. According to the driver distraction fine-grained monitoring method and system provided by the invention, richer multi-scale features can be extracted by adopting the driver distraction monitoring model automatically constructed on the basis of a neural architecture search algorithm, fine differences between different distraction states are represented, and thus the accuratemonitoring of the fine-grained distraction state of the driver is realized.
本发明涉及一种驾驶员分心细粒度监测方法和系统。所述方法包括:获取驾驶员的时序数据和驾驶员分心监测模型;采用所述驾驶员分心监测模型,根据所述驾驶员的时序数据得到预测向量;根据所述预测向量确定所述驾驶员的分心状态。本发明提供的驾驶员分心细粒度监测方法和系统,通过采用基于神经架构搜索算法自动构建的驾驶员分心监测模型能够提取更为丰富的多尺度特征,表征不同分心状态之间的细微差异,进而实现对驾驶员的细粒度分心状态的精准监测。
Driver distraction fine-grained monitoring method and system
一种驾驶员分心细粒度监测方法和系统
2020-08-11
Patent
Elektronische Ressource
Chinesisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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