Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Person Detection in 2D Range Data   Detecting humans is a key skill for mobile robots and intelligent vehicles in
a large variety of applications. While the problem is well studied for certain
sensory modalities such as image data, few works exist that address this
detection task using 2D range data. However, a widespread sensory setup for
many mobile robots in service and domestic applications contains a horizontally
mounted 2D laser scanner. Detecting people from 2D range data is challenging
due to the speed and dynamics of human leg motion and the high levels of
occlusion and self-occlusion particularly in crowds of people. While previous
approaches mostly relied on handcrafted features, we recently developed the
deep learning based wheelchair and walker detector DROW. In this paper, we show
the generalization to people, including small modifications that significantly
boost DROW's performance. Additionally, by providing a small, fully online
temporal window in our network, we further boost our score. We extend the DROW
dataset with person annotations, making this the largest dataset of person
annotations in 2D range data, recorded during several days in a real-world
environment with high diversity. Extensive experiments with three current
baseline methods indicate it is a challenging dataset, on which our improved
DROW detector beats the current state-of-the-art.

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The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: econ
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
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The categories of this paper are: eess
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat