Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TEX-CUP: The University of Texas Challenge for Urban Positioning   A public benchmark dataset collected in the dense urban center of the city of
Austin, TX is introduced for evaluation of multi-sensor GNSS-based urban
positioning. Existing public datasets on localization and/or odometry
evaluation are based on sensors such as lidar, cameras, and radar. The role of
GNSS in these datasets is typically limited to the generation of a reference
trajectory in conjunction with a high-end inertial navigation system (INS). In
contrast, the dataset introduced in this paper provides raw ADC output of
wideband intermediate frequency (IF) GNSS data along with tightly synchronized
raw measurements from inertial measurement units (IMUs) and a stereoscopic
camera unit. This dataset will enable optimization of the full GNSS stack from
signal tracking to state estimation, as well as sensor fusion with other
automotive sensors. The dataset is available at
http://radionavlab.ae.utexas.edu under Public Datasets. Efforts to collect and
share similar datasets from a number of dense urban centers around the world
are under way.

36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas