Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting
  Invariant 3-DoF Localization   We describe a light-weight, weather and lighting invariant, Semantic Bird's
Eye View (S-BEV) signature for vision-based vehicle re-localization. A
topological map of S-BEV signatures is created during the first traversal of
the route, which are used for coarse localization in subsequent route
traversal. A fine-grained localizer is then trained to output the global 3-DoF
pose of the vehicle using its S-BEV and its coarse localization. We conduct
experiments on vKITTI2 virtual dataset and show the potential of the S-BEV to
be robust to weather and lighting. We also demonstrate results with 2 vehicles
on a 22 km long highway route in the Ford AV dataset.

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The categories of this paper are: solv-int
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The categories of this paper are: math
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
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The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-th
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin
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The categories of this paper are: nlin
3
The categories of this paper are: physics
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The categories of this paper are: funct-an