Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Prediction of Lane Number Using Results From Lane Detection   The lane number that the vehicle is traveling in is a key factor in
intelligent vehicle fields. Many lane detection algorithms were proposed and if
we can perfectly detect the lanes, we can directly calculate the lane number
from the lane detection results. However, in fact, lane detection algorithms
sometimes underperform. Therefore, we propose a new approach for predicting the
lane number, where we combine the drive recorder image with the lane detection
results to predict the lane number. Experiments on our own dataset confirmed
that our approach delivered outstanding results without significantly
increasing computational cost.

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The categories of this paper are: dg-ga
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The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: eess
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
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The categories of this paper are: funct-an
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The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an