Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Road Surface Translation Under Snow-covered and Semantic Segmentation
  for Snow Hazard Index   In 2020, there was a record heavy snowfall owing to climate change. In
reality, 2,000 vehicles were stuck on the highway for three days. Because of
the freezing of the road surface, 10 vehicles had a billiard accident. Road
managers are required to provide indicators to alert drivers regarding snow
cover at hazardous locations. This study proposes a deep learning application
with live image post-processing to automatically calculate a snow hazard ratio
indicator. First, the road surface hidden under snow is translated using a
generative adversarial network, pix2pix. Second, snow-covered and road surface
classes are detected by semantic segmentation using DeepLabv3+ with MobileNet
as a backbone. Based on these trained networks, we automatically compute the
road to snow rate hazard index, indicating the amount of snow covered on the
road surface. We demonstrate the applied results to 1,155 live snow images of
the cold region in Japan. We mention the usefulness and the practical
robustness of our study.

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The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
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The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
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The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: eess
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The categories of this paper are: patt-sol
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The categories of this paper are: stat
5
The categories of this paper are: gr-qc
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: comp-gas