论文标题
PF：用于快速粒子过滤的C ++库
PF: A C++ Library for Fast Particle Filtering
论文作者
论文摘要
粒子过滤器是一类算法，用于实时“跟踪”或“过滤”，用于广泛的时间序列模型。尽管它们具有全面的适用性，但由于粒子过滤器的实施方式并不总是是许多从业者的选择工具。这篇简短的文章介绍了PF，这是一个仅C ++标头模板库，可快速实现许多不同的粒子过滤器。提供了一个教程，并提供了广泛的完整示例。
Particle filters are a class of algorithms that are used for "tracking" or "filtering" in real-time for a wide array of time series models. Despite their comprehensive applicability, particle filters are not always the tool of choice for many practitioners, due to how difficult they are to implement. This short article presents PF, a C++ header-only template library that provides fast implementations of many different particle filters. A tutorial along with an extensive fully-worked example is provided.
