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System and method for enabling robot to perceive and detect socially interacting groups

机译:使机器人能够感知和检测社会互动群体的系统和方法

摘要

This disclosure relates to system and method for enabling a robot to perceive and detect socially interacting groups. Various known systems have limited accuracy due to prevalent rule-driven methods. In case of few data-driven learning methods, they lack datasets with varied conditions of light, occlusion, and backgrounds. The disclosed method and system detect the formation of a social group of people, or, f-formation in real-time in a given scene. The system also detects outliers in the process, i.e., people who are visible but not part of the interacting group. This plays a key role in correct f-formation detection in a real-life crowded environment. Additionally, when a collocated robot plans to join the group it has to detect a pose for itself along with detecting the formation. Thus, the system provides the approach angle for the robot, which can help it to determine the final pose in a socially acceptable manner.
机译:本发明涉及用于使机器人能够感知和检测社会互动群体的系统和方法。由于流行的规则驱动方法,各种已知系统的准确性有限。在少数数据驱动学习方法的情况下,它们缺乏具有不同光线、遮挡和背景条件的数据集。所公开的方法和系统在给定场景中实时检测社会群体的形成,或f-形成。该系统还检测过程中的异常值,即可见但不属于交互组的人。这在真实拥挤环境中正确检测f形方面起着关键作用。此外,当并置机器人计划加入组时,它必须在检测队形的同时检测自身的姿势。因此,该系统为机器人提供了接近角度,可以帮助其以社会可接受的方式确定最终位姿。

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