Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A simple vision-based navigation and control strategy for autonomous
  drone racing   In this paper, we present a control system that allows a drone to fly
autonomously through a series of gates marked with ArUco tags. A simple and
low-cost DJI Tello EDU quad-rotor platform was used. Based on the API provided
by the manufacturer, we have created a Python application that enables the
communication with the drone over WiFi, realises drone positioning based on
visual feedback, and generates control. Two control strategies were proposed,
compared, and critically analysed. In addition, the accuracy of the positioning
method used was measured. The application was evaluated on a laptop computer
(about 40 fps) and a Nvidia Jetson TX2 embedded GPU platform (about 25 fps). We
provide the developed code on GitHub.

12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an