基于HCRF的随从机器人对障碍物意识的估计

Kenji Koide, J. Miura
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引用次数: 4

摘要

本文描述了一种评估人对障碍物感知能力的方法。我们假设人的意识影响人的运动,并利用HCRF构建了人的意识与运动之间的关系模型。我们从人的运动轨迹中提取一系列运动特征,然后使用该模型对人是否意识到障碍物进行分类。为了验证该方法并评估其性能,进行了感知估计实验。由于该方法仅使用人的位置和速度,因此可以适用于移动机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Person's Awareness of an Obstacle using HCRF for an Attendant Robot
This paper describes an estimation method of a person's awareness of an obstacle. We assume that the person's awareness influences the person's motion, and construct a model of the relationship between the awareness and the motion using HCRF. We extract a sequence of motion features from the person trajectory, and then classify whether the person is aware of the obstacle or not using the model. Awareness estimation experiments are conducted in order to validate the method and evaluate its performance. Since the method uses only the position and the velocity of the person, it can be applicable to mobile robots.
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