The invention discloses an auxiliary driving vehicle accident scene extraction method considering scene complexity. The method comprises the following steps: setting accident scene information of an auxiliary driving vehicle accident scene; the accident scene information comprises scene complexity information, a scene index category corresponding to a typical scene category and feature information of the typical scene; the non-parametric feature information is subjected to one-hot coding, and the parametric feature information is kept in an original numerical form; performing clustering analysis on the feature information corresponding to the key index category of each accident through a Gaussian mixture model to obtain the complexity of three types of scenes; dividing the feature information corresponding to the scene index category corresponding to the complexity of each category of scene into s categories of typical scenes by using a DBSCAN clustering method; feature information of the typical scenes is given to each type of typical scenes; accident scenes of the auxiliary driving vehicle are classified by considering scene complexity, and a scientific basis is provided for improvement of an auxiliary driving system and accident prevention.
本发明公开了一种考虑场景复杂度的辅助驾驶车辆事故场景提取方法,包括以下步骤:设定辅助驾驶车辆事故场景的事故场景信息;所述事故场景信息包括:场景复杂程度信息、典型场景类别对应的场景指标类别、典型场景的特征信息;非参数型特征信息进行独热编码,参数型特征信息保持原始数值形式;将各事故的关键指标类别对应的特征信息通过高斯混合模型进行聚类分析,得到三类场景复杂程度;将每类场景复杂程度对应的场景指标类别对应的特征信息使用DBSCAN聚类方法分为s类典型场景;对每类典型场景赋予典型场景的特征信息;实现考虑场景复杂度将辅助驾驶车辆事故场景进行分类,有利于为辅助驾驶系统的改进和事故预防提供科学依据。
Auxiliary driving vehicle accident scene extraction method considering scene complexity
一种考虑场景复杂度的辅助驾驶车辆事故场景提取方法
2025-04-29
Patent
Electronic Resource
Chinese
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