Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Simulation Benchmark for Vision-based Autonomous Navigation   This work introduces a simulator benchmark for vision-based autonomous
navigation. The simulator offers control over real world variables such as the
environment, time of day, weather and traffic. The benchmark includes a modular
integration of different components of a full autonomous visual navigation
stack. In the experimental part of the paper, state-of-the-art visual
localization methods are evaluated as a part of the stack in realistic
navigation tasks. To the authors' best knowledge, the proposed benchmark is the
first to study modern visual localization methods as part of a full autonomous
visual navigation stack.

24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con