The embodiment of the invention provides an automatic driving multi-background vehicle high-risk test scene generation method, and belongs to the technical field of data processing, and the method specifically comprises the steps: 1, extracting the spatial-temporal characteristics of all vehicles in an accident occurrence process; 2, in combination with pre-collision time sequence characteristics of a collision vehicle and time sequence interaction characteristics of a non-collision vehicle and an accident vehicle, static characteristics are fused, and a scene space-time coupling matrix is created; 3, sampling the scene space-time coupling matrix according to a preset sampling interval to obtain a plurality of scene sections; 4, inputting all scene sections into a GAN network, and generating a scene space-time coupling section in a generalization manner; and step 5, based on the scene space-time coupling section, according to the distribution of the pre-collision time sequence features, the time sequence interaction features and the static features in the scene space-time coupling matrix, expanding to obtain a complete space-time coupling test scene. According to the scheme, the safety and reliability of the automatic driving vehicle are improved.
本公开实施例中提供了一种自动驾驶多背景车辆高风险测试场景生成方法,属于数据处理技术领域,具体包括:步骤1,提取事故发生过程中所有车辆的时空特征;步骤2,结合碰撞车辆的预碰撞时序特征以及非碰撞车辆与事故车辆的时序交互特征,融合静态特征,创建场景时空耦合矩阵;步骤3,根据预设的采样区间对场景时空耦合矩阵采样,得到多个场景截面;步骤4,将全部场景截面输入GAN网络,泛化生成场景时空耦合截面;步骤5,基于场景时空耦合截面,根据场景时空耦合矩阵中预碰撞时序特征、时序交互特征和静态特征的分布,扩充得到完整的时空耦合的测试场景。通过本公开的方案,提高了自动驾驶车辆的安全性和可靠性。
Automatic driving multi-background vehicle high-risk test scene generation method
自动驾驶多背景车辆高风险测试场景生成方法
2024-01-23
Patent
Elektronische Ressource
Chinesisch
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