The invention relates to a scene complexity model construction method based on automatic driving. The method comprises the following steps: determining a complexity weight factor in an automatic driving task; constructing an automatic driving task complexity model based on the complexity weight factor in the automatic driving task; constructing a scene complexity model based on the automatic driving task complexity model; wherein the automatic driving task comprises a positioning task, a sensing task and a control task. Compared with the prior art, the scene complexity model with a neural network-like structure is established by respectively considering the complexity and the weight factor of each factor from three aspects of a positioning task, a sensing task and a control task involved in a dynamic driving task; and a theoretical basis and a scientific basis can be provided for automatic driving automobile test and evaluation, industry standards and related legal specification formulation.
本发明涉及一种基于自动驾驶的场景复杂度模型构建方法,包括以下步骤:确定自动驾驶任务中的复杂度权重因子;基于自动驾驶任务中的复杂度权重因子,构建自动驾驶任务复杂度模型;基于自动驾驶任务复杂度模型,构建场景复杂度模型;其中,自动驾驶任务包括定位任务、感知任务及控制任务。与现有技术相比,本发明从动态驾驶任务中涉及的定位任务、感知任务和控制任务三个方面出发,分别考虑各因素的复杂度及其权重因子,建立了具有类神经网络结构的场景复杂度模型,可以为自动驾驶汽车测试与评价、行业标准以及相关法律规范制定提供理论基础和科学依据。
Scene complexity model construction method based on automatic driving
一种基于自动驾驶的场景复杂度模型构建方法
2023-05-09
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / 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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