广义几何三角测量法与里程测量法的比较

Enrique Mar-Castro, L. M. Aparicio-Lastiri, Omar Vicente Pérez-Arista, Rafael Stanley Núñez-Cruz, E. D. Antonio-Yañez
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引用次数: 0

摘要

移动机器人技术中的定位对于执行自主任务至关重要。因此,人们开发了不同的算法来估算机器人的相对或绝对姿态。最著名的算法之一是基于轮子的轨迹测量法,这种算法易于实现,但误差往往会随时间而增加,从而产生不可靠的估计结果。相比之下,广义几何三角测量法(GGT)等绝对定位算法精度更高,但其实施可能需要更先进的测量系统,而且姿态估计速度可能较慢。这项工作对这两种算法进行了比较,并展示了在使用一段时间后姿态估计的结果。所展示的结果是在一个配备了 Turtlebot3 型汉堡机器人的真实测试区域内获得的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparisson between generalized geometric triangulation and odometry
The localization in mobile robotics is essential for carrying out autonomous tasks. For this reason, different algorithms have been developed to estimate the robot's pose, either relatively or absolutely. One of the best known is Wheel-based Odometry, which is easy to implement but the error tends to increase with respect to time producing an unreliable estimation. In contrast, absolute localization algorithms such as Generalized Geometric Triangulation (GGT) offer higher accuracy, although their implementation may require more advanced measurement systems, and pose estimation can be slow. This work compares these two algorithms and shows what happens with the pose estimation when used for period of time. The presented results were obtained in a real testing area equipped with a Turtlebot3 model burger robot.
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