Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)

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The Application of Vision-Based Navigation Techniques on Drones

Authors
Xiaohong Gui1, *
1Shanghai Pinghe School, Shanghai, 201208, China
*Corresponding author. Email: amyguixiaohong@hotmail.com
Corresponding Author
Xiaohong Gui
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_3How to use a DOI?
Keywords
Vision-based Navigation; Drones; UAVs; Visual Sensors
Abstract

With the development of unmanned aerial vehicles (UAVs), more and more of them are introduced into true working conditions, and they need a powerful navigation system to operate smoothly. However, the commonly used navigation systems, such as the global positioning system (GPS), are not always reliable since they depend highly on the satellites available in the region. As a result, the vision-based navigation technology is practiced on UAVs. This technique is much more flexible and fits the working conditions of UAVs. This article introduced three main techniques used in vision-based navigation: visual sensors, object detectors and navigation approaches. Various visual sensors are used to offer information about the environment. Object detection approaches enable drones to perceive their surroundings and notice obstacles. Then, navigation approaches are used to plan the flight path. Map-based navigation approaches let drones navigate themselves with a map of the environment. Map dependent system has access to the precise 3D map, while map building system requires generating maps while navigating. Path planning approaches can determine the best flight path. Global path planning is static, while local path planning uses local data to adjust the route.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
Series
Advances in Computer Science Research
Publication Date
24 April 2026
ISBN
978-94-6239-648-7
ISSN
2352-538X
DOI
10.2991/978-94-6239-648-7_3How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaohong Gui
PY  - 2026
DA  - 2026/04/24
TI  - The Application of Vision-Based Navigation Techniques on Drones
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 11
EP  - 19
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_3
DO  - 10.2991/978-94-6239-648-7_3
ID  - Gui2026
ER  -