基于三维运动学的双机器人实时定位方法

IF 4.2 2区 计算机科学 Q2 ROBOTICS Journal of Field Robotics Pub Date : 2024-07-01 DOI:10.1002/rob.22383
Guy Elmakis, Matan Coronel, David Zarrouk
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摘要

本文介绍了一种精确的双机器人协作三维(3D)自定位方法,该方法依赖于单个旋转摄像头和用于测量机器人倾斜度的机载加速度计。该方法可在全球定位系统被屏蔽的环境中,以及在存在磁场干扰或相对(或完全)黑暗、无结构、无标记的地点进行定位。一个机器人每一步都向前移动,而另一个机器人则保持静止。通过加速度计获得的机器人倾斜角度以及与视频分析相关的炮塔旋转角度,可以连续计算出每个机器人的位置。我们介绍了用于实验的硬件设置,并详细说明了融合加速度计和摄像头获取的数据并在机载微型计算机上实时运行的算法。最后,我们介绍了二维和三维实验结果,结果表明该系统的总行驶距离精确度达到了 2%(见佐证资料 S1:视频)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Three-dimensional kinematics-based real-time localization method using two robots

This paper presents a precise two-robot collaboration method for three-dimensional (3D) self-localization relying on a single rotating camera and onboard accelerometers used to measure the tilt of the robots. This method allows for localization in global positioning system-denied environments and in the presence of magnetic interference or relatively (or totally) dark and unstructured unmarked locations. One robot moves forward on each step while the other remains stationary. The tilt angles of the robots obtained from the accelerometers and the rotational angle of the turret, associated with the video analysis, make it possible to continuously calculate the location of each robot. We describe a hardware setup used for experiments and provide a detailed description of the algorithm that fuses the data obtained by the accelerometers and cameras and runs in real-time on onboard microcomputers. Finally, we present 2D and 3D experimental results, which show that the system achieves 2% accuracy for the total traveled distance (see Supporting Information S1: video).

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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
期刊最新文献
Issue Information Cover Image, Volume 41, Number 8, December 2024 Issue Information ForzaETH Race Stack—Scaled Autonomous Head‐to‐Head Racing on Fully Commercial Off‐the‐Shelf Hardware Research on Satellite Navigation Control of Six‐Crawler Machinery Based on Fuzzy PID Algorithm
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