tf:转换库

Tully Foote
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引用次数: 193

摘要

tf库旨在提供一种标准方法来跟踪整个系统中的坐标帧和转换数据,这样各个组件用户就可以确信数据位于他们想要的坐标帧中,而不需要了解系统中的所有坐标帧。在机器人操作系统(ROS)的早期开发期间,跟踪坐标帧被认为是开发人员的一个常见痛点。当开发人员不正确地对数据应用转换时,此任务的复杂性使其成为出现错误的常见地方。这个问题也是一个挑战,因为关于不同坐标系之间转换的信息源通常是分布式的。本文将解释问题的复杂性并提炼需求。然后根据需求讨论tf库的设计。将展示几个用例来演示库的成功部署。以及对核心功能的强大扩展,例如能够在时间和空间上转换数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
tf: The transform library
The tf library was designed to provide a standard way to keep track of coordinate frames and transform data within an entire system such that individual component users can be confident that the data is in the coordinate frame that they want without requiring knowledge of all the coordinate frames in the system. During early development of the Robot Operating System (ROS), keeping track of coordinate frames was identified as a common pain point for developers. The complexity of this task made it a common place for bugs when developers improperly applied transforms to data. The problem is also a challenge due to the often distributed sources of information about transformations between different sets of coordinate frames. This paper will explain the complexity of the problem and distill the requirements. Then it will discuss the design of the tf library in relation to the requirements. A few use cases will be presented to demonstrate successful deployment of the library. And powerful extensions to the core capabilities such as being able to transform data in time as well as in space.
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