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Method and system for performing adaptive ray-based scene analysis on semantic traffic space, and vehicle comprising such a system

机译:在语义交通空间上执行基于射线的自适应场景分析的方法和系统以及包括该系统的车辆

摘要

The invention is in the field of automated computerized driver assistance for vehicles. The invention regards in particular a method and a system for computationally performing scene analysis of semantic traffic spaces based on an adaptive spatio-temporal ray-based approach. The method for spatial analysis of a traffic scene comprises a step of acquiring a spatial semantic environment map including semantic context data, a step of calculating at least one feature for at least one location on the spatial environment map taking into account the semantic context of the location and a step of determining a category for the at least one location based on the at least one calculated feature. In an embodiment the feature is a ray based feature calculated by integrating input values along at least one ray extending in least one of a space dimension and a time dimension. The ray may have a ray shape corresponding to a general shape of a road and/or the at least one spatially extending ray follows a course of the road and/or is perpendicular to a surrounding road segment orientation.
机译:本发明属于车辆的自动计算机驾驶员辅助技术领域。本发明尤其涉及一种用于基于自适应时空射线的方法来对语义交通空间进行场景分析的方法和系统。用于交通场景的空间分析的方法包括以下步骤:获取包括语义上下文数据的空间语义环境图;计算空间环境图上至少一个位置的至少一个特征的步骤,其中要考虑到该语义环境的语义上下文。位置和基于至少一个计算出的特征确定至少一个位置的类别的步骤。在一个实施例中,特征是基于射线的特征,其通过沿着沿着在空间维度和时间维度中的至少一个中延伸的至少一条射线的输入值进行积分来计算。射线可以具有与道路的总体形状相对应的射线形状和/或至少一个空间延伸的射线跟随道路的路线和/或垂直于周围的路段取向。

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