Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-Sensor Integration for Indoor 3D Reconstruction   Outdoor maps and navigation information delivered by modern services and
technologies like Google Maps and Garmin navigators have revolutionized the
lifestyle of many people. Motivated by the desire for similar navigation
systems for indoor usage from consumers, advertisers, emergency
rescuers/responders, etc., many indoor environments such as shopping malls,
museums, casinos, airports, transit stations, offices, and schools need to be
mapped. Typically, the environment is first reconstructed by capturing many
point clouds from various stations and defining their spatial relationships.
Currently, there is a lack of an accurate, rigorous, and speedy method for
relating point clouds in indoor, urban, satellite-denied environments. This
thesis presents a novel and automatic way for fusing calibrated point clouds
obtained using a terrestrial laser scanner and the Microsoft Kinect by
integrating them with a low-cost inertial measurement unit. The developed
system, titled the Scannect, is the first joint static-kinematic indoor 3D
mapper.

18
The categories of this paper are: econ
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
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The categories of this paper are: math-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: hep-lat
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The categories of this paper are: funct-an