Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mapping with Reflection -- Detection and Utilization of Reflection in 3D
  Lidar Scans   This paper presents a method to detect reflection of 3D light detection and
ranging (Lidar) scans and uses it to classify the points and also map objects
outside the line of sight. Our software uses several approaches to analyze the
point cloud, including intensity peak detection, dual return detection, plane
fitting, and finding the boundaries. These approaches can classify the point
cloud and detect the reflection in it. By mirroring the reflection points on
the detected window pane and adding classification labels on the points, we can
improve the map quality in a Simultaneous Localization and Mapping (SLAM)
framework. Experiments using real scan data and ground truth data showcase the
effectiveness of our method.

12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess