Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map

1、摘要

https://mp.weixin.qq.com/s/J1pVixk0rY_hxtDq4ry1JQ

2、步骤

2.1 以激光原点为中心,均匀划分周围空间

we first divide a 3D scan into azimuthal(方位的) and radial(径向的) bins in the sensor coordinate, but in an equally spaced manner as shown in Fig. 1(a).
Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud MapNs and Nr are the number of sectors and rings, respectively.
Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud MapScan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map