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SYSTEM AND METHOD FOR LEVERAGING END-TO-END DRIVING MODELS FOR IMPROVING DRIVING TASK MODULES

机译:利用端到端驾驶模型来改进驾驶任务模块的系统和方法

摘要

System, methods, and other embodiments described herein relate to improving training of sub-modules for autonomously controlling a vehicle. In one embodiment, a method includes generating projected controls for autonomously controlling the vehicle through a driving scene by analyzing sensor data about the driving scene using an end-to-end (E2E) model. The E2E model is based, at least in part, on at least one of the sub-modules. The method includes training the E2E model according to the projected controls and labels for the sensor data that indicate expected controls for driving the vehicle through the driving scene. The method includes transferring electronic data of the E2E model into the at least one of the sub-modules associated with the E2E model to initialize the at least one of the sub-modules to improve operation of the at least one sub-modules at sub-tasks for autonomously controlling the vehicle.
机译:本文描述的系统,方法和其他实施例涉及改进用于自主控制车辆的子模块的训练。在一个实施例中,一种方法包括通过使用端到端(E2E)模型分析有关驾驶场景的传感器数据来生成用于通过驾驶场景自主控制车辆的投影控件。 E2E模型至少部分地基于至少一个子模块。该方法包括根据投影的控件和用于传感器数据的标签训练E2E模型,这些标签和标签指示用于通过驾驶场景驾驶车辆的预期控件。该方法包括将E2E模型的电子数据传送到与E2E模型相关联的至少一个子模块中,以初始化至少一个子模块,以改善至少一个子模块在子模块处的操作。自主控制车辆的任务。

著录项

  • 公开/公告号US2019113917A1

    专利类型

  • 公开/公告日2019-04-18

    原文格式PDF

  • 申请/专利权人 TOYOTA RESEARCH INSTITUTE INC.;

    申请/专利号US201815914520

  • 发明设计人 SHYAMAL D. BUCH;ADRIEN D. GAIDON;

    申请日2018-03-07

  • 分类号G05D1;G05D1/02;G05B13/02;

  • 国家 US

  • 入库时间 2022-08-21 12:09:07

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