The Principle of UAV Navigation Based on Computer Vision

DOI

10.2991/978-94-6463-821-9_64How to use a DOI?

Keywords

Autonomous Unmanned Aerial Vehicles (UAV); Computer Vision; You Only Look Once (YOLO) Framework; Single Shot Multibox Detector (SSD) Model

Abstract

Nowadays, unmanned aerial vehicles (UAVs), commonly referred to as drones, have attracted a lot of attention from varies fields. In the development of recent years, one of the most noticeable developments is the application of computer vision in drones, which provides key technologies for visual navigation, positioning and obstacle avoidance, so that drones can truly realize unmanned control. However, because of the limited self-navigation capabilities, UAVs may not be available in all environments. In recent years, visual positioning and mapping, obstacle avoidance and path planning have become the basic components of visual navigation. According to the comparison and classification between 2 major existing machine vision models, Single Shot MultiBox Detector (SSD) and You Only Look (YOLO) Once model, this article will provide a literature review of UAV navigation technologies based on computer vision. This article will also discuss issues and research challenges in the design and implementation of UAV visual navigation technology base on the previous papers. Finally, according to the induction and summary of existing models, give out the suitable application scenarios of different models.

Copyright

© 2025 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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TY  - CONF
AU  - Junlu Zhang
PY  - 2025
DA  - 2025/08/31
TI  - The Principle of UAV Navigation Based on Computer Vision
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 657
EP  - 664
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_64
DO  - 10.2991/978-94-6463-821-9_64
ID  - Zhang2025
ER  -