Lidar-based SLAM systems perform well in a wide range of circumstances by relying on the geometry of the environment. However, even mature and reliable approaches struggle when the environment contains structureless areas such as long hallways. To allow the use of lidar-based SLAM in such environments, we propose to add reflector markers in specific locations that would otherwise be difficult. We present an algorithm to reliably detect these markers and two approaches to fuse the detected markers with geometry-based scan matching. The performance of the proposed methods is demonstrated on real-world datasets from several industrial environments.
翻译:以利达尔为基础的SLAM系统在多种情况下依靠环境的几何特征运作良好。然而,当环境包含无结构地区,如长走廊时,即使成熟和可靠的方法也十分困难。为了允许在这种环境中使用以利达尔为基础的SLAM系统,我们提议在特定地点增加反射标记,否则难以使用。我们提出了一个可靠地检测这些标记的算法,以及用几何扫描匹配将检测到的标记连接起来的两种方法。拟议方法的性能在若干工业环境中的真实世界数据集中得到了证明。