论文标题
在线语义探索室内地图
Online Semantic Exploration of Indoor Maps
论文作者
论文摘要
在本文中，我们提出了一种使用贝叶斯推理从典型的网格图中提取抽象的平面图的方法。该过程的结果是通过抽象概念定义的环境的概率生成模型。它非常适合更高级别的推理和沟通目的。我们通过现实世界实验证明了该方法的有效性。
In this paper we propose a method to extract an abstracted floor plan from typical grid maps using Bayesian reasoning. The result of this procedure is a probabilistic generative model of the environment defined over abstract concepts. It is well suited for higher-level reasoning and communication purposes. We demonstrate the effectiveness of the approach through real-world experiments.
