Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping
  package for LiDARs of small FoV   LiDAR odometry and mapping (LOAM) has been playing an important role in
autonomous vehicles, due to its ability to simultaneously localize the robot's
pose and build high-precision, high-resolution maps of the surrounding
environment. This enables autonomous navigation and safe path planning of
autonomous vehicles. In this paper, we present a robust, real-time LOAM
algorithm for LiDARs with small FoV and irregular samplings. By taking effort
on both front-end and back-end, we address several fundamental challenges
arising from such LiDARs, and achieve better performance in both precision and
efficiency compared to existing baselines. To share our findings and to make
contributions to the community, we open source our codes on Github

12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int