首页> 外国专利> METHOD FOR GENERATING A TRAINING DATA SET FOR TRAINING AN ARTIFICIAL INTELLIGENCE MODULE FOR A CONTROL DEVICE OF A VEHICLE

METHOD FOR GENERATING A TRAINING DATA SET FOR TRAINING AN ARTIFICIAL INTELLIGENCE MODULE FOR A CONTROL DEVICE OF A VEHICLE

机译:用于生成用于训练车辆控制装置的人工智能模块的训练数据集的方法

摘要

A method for generating a training data set for training an artificial intelligence (AI) module. An image sequence is provided in which surroundings of a robot are recorded. A trajectory in the recorded surroundings is determined. At least one future image sequence is generated which extends to a time segment in the future, and, based on the at least one determined trajectory, encompasses a prediction of images for the event that the determined trajectory was followed during the time segment in the future. At least one sub-section of the determined trajectory in the generated image sequence is assessed as positive or as negative when a movement predicted by following the trajectory corresponds to a valid movement situation, or as an invalid movement situation, respectively. The generated future image sequence with the assessment assigned thereto of the trajectory are combined for generating a training data set for the AI module.
机译:一种用于生成用于训练人工智能(AI)模块的训练数据集的方法。提供了一种图像序列,其中记录了机器人的周围环境。确定了录制的周围环境中的轨迹。生成至少一个未来的图像序列,其延伸到未来的时间段,并且基于至少一个确定的轨迹,包括在未来时间段期间遵循所确定的轨迹的事件的图像的预测。当通过遵循轨迹预测的移动对应于有效移动情况时,所生成的图像序列中确定的图像序列中的确定轨迹的至少一个子部分被评估为正或负面,或者分别作为无效移动情况。将生成的未来图像序列与轨迹分配的评估组合用于为AI模块生成训练数据集。

著录项

  • 公开/公告号US2021078168A1

    专利类型

  • 公开/公告日2021-03-18

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号US201916970342

  • 发明设计人 JENS ERIC MARKUS MEHNERT;

    申请日2019-03-07

  • 分类号B25J9/16;B25J19/02;G06T7/55;

  • 国家 US

  • 入库时间 2022-08-24 17:47:09

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