The invention relates to the technical field of traffic safety, and discloses a lane changing behavior cognitive distraction detection method based on real-time driving, which comprises the following steps: S1, sequentially collecting lane changing driving data in a ground state and a cognitive distraction state; s2, dividing lane changing driving into an intention stage and an execution stage according to node moments, and extracting characterization parameters from lane changing driving data; s3, according to the characterization parameter difference of the driver in the ground state and the cognitive distraction state, selecting characterization parameters with significant difference as key parameters; s4, constructing a cognitive distraction judgment model used for recognizing the cognitive distraction behavior of the driver, S5, extracting key parameters of real-time driving in the current intention stage or the execution stage, and inputting the key parameters into the trained cognitive distraction judgment model to obtain a binary decision result of a distraction state or a ground state; the technical problem that accurate detection of cognitive distraction in real-time lane changing driving is lacked in the prior art is solved.
本发明涉及交通安全技术领域,公开了一种基于实时驾驶的换道行为认知分心检测方法,包括S1、依次采集基态和认知分心状态下的换道驾驶数据;S2、根据节点时刻将换道驾驶划分为意图阶段和执行阶段,从换道驾驶数据中提取表征参数;S3、根据驾驶人群在基态和认知分心状态下表征参数差异性,选出具有显著差异性的表征参数作为关键参数;S4、构建用于识别驾驶人认知分心行为的认知分心判别模型,S5、提取当前意图阶段或执行阶段实时驾驶的关键参数输入训练好的认知分心判别模型,得到分心状态或基态的二元决策结果;以解决现有技术缺少对实时换道驾驶中认知分心的准确检测的技术问题。
Lane changing behavior cognitive distraction detection method based on real-time driving
基于实时驾驶的换道行为认知分心检测方法
2024-12-10
Patent
Electronic Resource
Chinese
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