Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping
  Tasks   Autonomous driving is a dynamically growing field of research, where quality
and amount of experimental data is critical. Although several rich datasets are
available these days, the demands of researchers and technical possibilities
are evolving. Through this paper, we bring a new dataset recorded in Brno,
Czech Republic. It offers data from four WUXGA cameras, two 3D LiDARs, inertial
measurement unit, infrared camera and especially differential RTK GNSS receiver
with centimetre accuracy which, to the best knowledge of the authors, is not
available from any other public dataset so far. In addition, all the data are
precisely timestamped with sub-millisecond precision to allow wider range of
applications. At the time of publishing of this paper, recordings of more than
350 km of rides in varying environment are shared at: https:
//github.com/RoboticsBUT/Brno-Urban-Dataset.

18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga