Publication result detail

Using Visual Odometry to Determine the Position of a UAV

PINTÉR, M.; JANOUŠEK, J.; KLOUDA, J.; MARCOŇ, P.

Original Title

Using Visual Odometry to Determine the Position of a UAV

English Title

Using Visual Odometry to Determine the Position of a UAV

Type

Paper in proceedings (conference paper)

Original Abstract

We discuss the main concepts and problems related to navigating an unmanned aerial vehicle (UAV) in a three-dimensional space via visual odometry. In the nearest future, GMSS-free UAV navigation will embody a critical part of autonomous navigation systems, with information from on-board cameras enabling the user to estimate the UAV's movement and position. In the given context, this paper presents different types of visual odometry, sensors for visual odometry, implementation components, and application scenarios. To allow the development and innovations, we utilize the widely used Robotic Operating System (ROS).

English abstract

We discuss the main concepts and problems related to navigating an unmanned aerial vehicle (UAV) in a three-dimensional space via visual odometry. In the nearest future, GMSS-free UAV navigation will embody a critical part of autonomous navigation systems, with information from on-board cameras enabling the user to estimate the UAV's movement and position. In the given context, this paper presents different types of visual odometry, sensors for visual odometry, implementation components, and application scenarios. To allow the development and innovations, we utilize the widely used Robotic Operating System (ROS).

Keywords

automation; navigation; ROS; UAV; visual-odometry

Key words in English

automation; navigation; ROS; UAV; visual-odometry

Authors

PINTÉR, M.; JANOUŠEK, J.; KLOUDA, J.; MARCOŇ, P.

RIV year

2025

Released

30.08.2024

Publisher

Elsevier

Location

AMSTERDAM

Book

18th IFAC Conference on Programmable Devices and Embedded Systems PDES 2024

Edition

58

ISBN

2405-8963

Periodical

IFAC-PapersOnLine

Volume

58

Number

9

State

United Kingdom of Great Britain and Northern Ireland

Pages from

281

Pages to

286

Pages count

6

URL

https://www.sciencedirect.com/science/article/pii/S2405896324004993

Full text in the Digital Library

http://hdl.handle.net/11012/250107

BibTex

@inproceedings{BUT189522,
  author="Marco {Pintér} and Jiří {Janoušek} and Jan {Klouda} and Petr {Marcoň}",
  title="Using Visual Odometry to Determine the Position of a UAV",
  booktitle="18th IFAC Conference on Programmable Devices and Embedded Systems PDES 2024",
  year="2024",
  series="58",
  journal="IFAC-PapersOnLine",
  volume="58",
  number="9",
  pages="281--286",
  publisher="Elsevier",
  address="AMSTERDAM",
  doi="10.1016/j.ifacol.2024.07.410",
  issn="2405-8971",
  url="https://www.sciencedirect.com/science/article/pii/S2405896324004993"
}

Documents

1-s2.0-S2405896324004993-main