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FORMATION OF MODELED DATA OF SENSORS FOR TRAINING AND CHECKING THE RELIABILITY OF DETECTION MODELS

机译:训练和检查检测模型可靠性的传感器模型数据的形成

摘要

A scenario is defined that including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. Perception of the scenario by sensors at the sensor locations is simulated to obtain simulated sensor outputs. The simulated sensor outputs are annotated to indicate the location of obstacles in the scenario. The annotated sensor outputs may then be used to validate a statistical model or to train a machine learning model. The simulates sensor outputs may be modeled with sufficient detail to include sensor noise or may include artificially added noise to simulate real world conditions.
机译:定义了包括车辆模型和典型驾驶环境的场景。将主题车辆的模型添加到场景,并在主题车辆上定义传感器位置。模拟在传感器位置处的传感器对场景的感知,以获得模拟的传感器输出。带注释的模拟传感器输出可指示场景中障碍物的位置。带注释的传感器输出随后可用于验证统计模型或训练机器学习模型。可以对模拟传感器输出进行足够详细的建模,以包括传感器噪声,或者可以包括人为添加的噪声,以模拟现实世界的状况。

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