首页> 外国专利> OBJECT MODELING WITH ADVERSARIAL LEARNING

OBJECT MODELING WITH ADVERSARIAL LEARNING

机译:与对抗学习的对象建模

摘要

Methods, computer-readable media, and devices are disclosed for improving an object model based upon measurements of physical properties of an object via an unmanned vehicle using adversarial examples. For example, a method may include a processing system capturing measurements of physical properties of an object via at least one unmanned vehicle, updating an object model for the object to include the measurements of the physical properties of the object, where the object model is associated with a feature space, and generating an example from the feature space, where the example comprises an adversarial example. The processing system may further apply the object model to the example to generate a prediction, capture additional measurements of the physical properties of the object via the at least one unmanned vehicle when the prediction fails to identify that the example is an adversarial example, and update the object model to include the additional measurements.
机译:方法,公开了用于基于使用对手示例的无人驾驶车辆的物理性质的测量来改善对象模型的方法,计算机可读介质和装置。 例如,方法可以包括通过至少一个无人驾驶车辆捕获对象的物理属性的物理属性的测量的处理系统,以包括对象的对象模型包括对象模型相关联的对象的物理属性的测量值。 利用特征空间,并从特征空间产生示例,其中示例包括对外示例。 处理系统可以进一步将对象模型应用于示例以生成预测,当预测失败时,通过至少一个无人驾驶车辆捕获对象的物理特性的额外测量,当预测不能识别该示例是对手示例,更新 对象模型包括附加测量。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号