Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Methodological Review of Visual Road Recognition Procedures for
  Autonomous Driving Applications   The current research interest in autonomous driving is growing at a rapid
pace, attracting great investments from both the academic and corporate
sectors. In order for vehicles to be fully autonomous, it is imperative that
the driver assistance system is adapt in road and lane keeping. In this paper,
we present a methodological review of techniques with a focus on visual road
detection and recognition. We adopt a pragmatic outlook in presenting this
review, whereby the procedures of road recognition is emphasised with respect
to its practical implementations. The contribution of this review hence covers
the topic in two parts -- the first part describes the methodological approach
to conventional road detection, which covers the algorithms and approaches
involved to classify and segregate roads from non-road regions; and the other
part focuses on recent state-of-the-art machine learning techniques that are
applied to visual road recognition, with an emphasis on methods that
incorporate convolutional neural networks and semantic segmentation. A
subsequent overview of recent implementations in the commercial sector is also
presented, along with some recent research works pertaining to road detections.

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The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
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The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
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The categories of this paper are: chem-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: econ
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The categories of this paper are: hep-lat