Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mapping Walls of Indoor Environment using RGB-D Sensor   Inferring walls configuration of indoor environment could help robot
"understand" the environment better. This allows the robot to execute a task
that involves inter-room navigation, such as picking an object in the kitchen.
In this paper, we present a method to inferring walls configuration from a
moving RGB-D sensor. Our goal is to combine a simple wall configuration model
and fast wall detection method in order to get a system that works online, is
real-time, and does not need a Manhattan World assumption. We tested our
preliminary work, i.e. wall detection and measurement from moving RGB-D sensor,
with MIT Stata Center Dataset. The performance of our method is reported in
terms of accuracy and speed of execution.

29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat