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Prediction-based system and method for trajectory planning of autonomous vehicles

机译:基于预测的自动驾驶车辆轨迹规划系统和方法

摘要

A prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment is configured to: receive training data and ground truth data from a training data collection system, the training data including perception data and context data corresponding to human driving behaviors; perform a training phase for training a trajectory prediction module using the training data; receive perception data associated with a host vehicle; and perform an operational phase for extracting host vehicle feature data and proximate vehicle context data from the perception data, generating a proposed trajectory for the host vehicle, using the trained trajectory prediction module to generate predicted trajectories for each of one or more proximate vehicles near the host vehicle based on the proposed host vehicle trajectory, determining if the proposed trajectory for the host vehicle will conflict with any of the predicted trajectories of the proximate vehicles, and modifying the proposed trajectory for the host vehicle until conflicts are eliminated.
机译:公开了一种用于自主车辆的轨迹规划的基于预测的系统和方法。特定实施例被配置为:从训练数据收集系统接收训练数据和地面事实数据,所述训练数据包括与人类驾驶行为相对应的感知数据和情境数据;执行训练阶段,以使用训练数据来训练轨迹预测模块;接收与主车辆相关的感知数据;并执行操作阶段,以从感知数据中提取本车特征数据和附近的车辆上下文数据,使用训练的轨迹预测模块为该车辆附近的一个或多个近端车辆中的每一个生成预测的轨迹,从而为本车生成建议的轨迹。基于提议的宿主车辆轨迹的宿主车辆,确定宿主车辆的提议轨迹是否会与附近车辆的任何预测轨迹发生冲突,并修改宿主车辆的提议轨迹直到消除冲突。

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