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EXTRACTING AGENT INTENT FROM LOG DATA FOR RUNNING LOG-BASED SIMULATIONS FOR EVALUATING AUTONOMOUS VEHICLE SOFTWARE

机译:从日志数据中提取代理意图用于运行基于日志的模拟,用于评估自动车辆软件

摘要

The disclosure relates to running simulations in order to test software used to control a vehicle in an autonomous driving mode. For instance, logged data may be identified for a simulation. The logged data may have been collected by a first vehicle and may identifying an agent that is a road user. The logged data may be analyzed to identify one or more signals of intent of the agent including a logged path of the agent. One or more characteristics may be identified based on the one or more signals. The simulation may be run using the logged data by replacing the agent with an interactive agent having the one or more characteristics. The interactive agent may be capable of responding to actions performed by a simulated vehicle in the simulation using software for controlling a vehicle in an autonomous driving mode.
机译:本公开涉及运行模拟,以便测试用于以自动驾驶模式控制车辆的软件。 例如,可以识别记录数据以用于模拟。 记录数据可以由第一车辆收集,并且可以识别是道路用户的代理。 可以分析记录的数据以识别包括代理的记录路径的代理的一个或多个意图的信号。 可以基于一个或多个信号识别一个或多个特征。 可以通过用具有一个或多个特征的交互式代理替换代理来使用记录数据来运行模拟。 交互式代理可以能够响应模拟车辆在模拟中使用用于在自主驱动模式中控制车辆的模拟中的模拟车辆执行的动作。

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