NDLI: A survey on vision-based UAV navigation

Content Provider	Taylor & Francis Online
Author	Xia, Gui-Song Xue, Zhucun Lu, Yuncheng Zhang, Liangpei
Abstract	Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past decades, and UAVs have been widely used in industrial inspection, remote sensing for mapping & surveying, rescuing, and so on. Nevertheless, the limited autonomous navigation capability severely hampers the application of UAVs in complex environments, such as GPS-denied areas. Previously, researchers mainly focused on the use of laser or radar sensors for UAV navigation. With the rapid development of computer vision, vision-based methods, which utilize cheaper and more flexible visual sensors, have shown great advantages in the field of UAV navigation. The purpose of this article is to present a comprehensive literature review of the vision-based methods for UAV navigation. Specifically on visual localization and mapping, obstacle avoidance and path planning, which compose the essential parts of visual navigation. Furthermore, throughout this article, we will have an insight into the prospect of the UAV navigation and the challenges to be faced.
Starting Page	21
Ending Page	32
Page Count	12
File Format	PDF HTM / HTML
ISSN	10095020 19935153
DOI	10.1080/10095020.2017.1420509
Journal	Geo-spatial Information Science
Volume Number	21
Issue Number	1
Language	English
Publisher	Taylor & Francis
Publisher Date	2018-01-12
Access Restriction	Open
Subject Keyword	Unmanned aerial vehicles (UAV) Visual SLAM Obstacle avoidance Path planning
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computers in Earth Sciences

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