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The Pc metric: A safety performance measure for evaluation of collision avoidance algorithms

机译:Pc指标:一种用于评估避撞算法的安全性能指标

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Several techniques have been proposed for navigation and collision avoidance algorithms in the field of mobile robotics. But the research on establishing standardized performance measures for evaluating such algorithms are gaining attention very recently. In this work, a novel performance metric is proposed to comprehensively measure and evaluate the performance of robots in terms of safety, during navigation and collision avoidance. The metric is based on the concept of probability of collision and is applicable to environments involving humans which are considered to be highly dynamic and uncertain. The definition and the estimation of the proposed metric are elaborated initially. The metric is then validated through an experiment. Finally, the application of the metric is demonstrated using a virtual human environment simulation. The results show the effectiveness of the metric in quantitatively evaluating and comparing the safety performance of the robot with respect to humans.
机译:在移动机器人领域中已经提出了几种用于导航和避免碰撞算法的技术。但是,建立用于评估此类算法的标准化性能指标的研究近来受到关注。在这项工作中,提出了一种新颖的性能指标,可以在导航和避免碰撞过程中全面地评估和评估机器人在安全性方面的性能。该度量基于碰撞概率的概念,并且适用于涉及人类的环境,这些环境被认为具有很高的动态性和不确定性。首先详细说明所提议度量的定义和估计。然后通过实验验证该指标。最后,使用虚拟人类环境仿真演示了度量标准的应用。结果表明,该指标在定量评估和比较机器人对人类的安全性能方面是有效的。

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