扁平标记:减轻微型飞行机器人运动捕捉标记的重量

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Marek Retinger, Jacek Michalski, Piotr Kozierski
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引用次数: 0

摘要

本文介绍并讨论了运动捕捉系统中使用的球形标记的轻型替代品的可用性。扁平标记是一种可以显著减轻重量的方法,对跟踪能力只有轻微的负面影响。对于有效载荷能力仅限于几克的微型飞行机器人来说,标记的轻量化尤为可取。本文件介绍了逆反射材料在微型飞行机器人中的优势。为了进行测试,我们选择并比较了 30 多种广泛使用的产品。实验在二维和三维表面上进行,包括静态和动态物体以及不同的场景。论文对所测试的材料及其作为平面标记的可用性进行了比较。结果表明,如果使用所发现的最佳材料,标记的总重量可减少到 1 克以下,同时确保在 99.7% 的测试时间内持续跟踪。这项研究不仅对从事微型飞行机器人工作的人员有价值,而且对那些寻找可定制的、更轻的替代标记材料来构建二维或三维标记的人也很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flat marker: Reducing the weight of motion capture markers for micro flying robots
The paper presents and discusses the usability of a lightweight alternative to the spherical markers used in the motion capture systems. The flat marker is an approach that can allow a significant reduction in weight with only a minor negative impact on the tracking capabilities. The low weight of the markers is particularly desirable in the case of micro flying robots with payload capacity limited to a few grams. The document takes a look at the retro reflective material advantages in the case of micro flying robots. For testing purposes, over 30 different widely available products were selected and compared. The experiments were performed on both 2D and 3D surfaces, including static and dynamic objects and different scenarios. The paper includes a comparison of the materials tested and their usability as flat markers. The results showed that in the case of the best material found, the total weight of the markers can be reduced to less than one gram while ensuring continuous tracking for up to 99.7% of the test time. The research is valuable not only to people working with micro flying robots, but also to those looking for customisable and lighter replacement marker materials for the constructing of 2D or 3D markers.
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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