A survey on vision-based UAV navigation

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 appl...

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Published inGeo-spatial information science Vol. 21; no. 1; pp. 21 - 32
Main Authors Lu, Yuncheng, Xue, Zhucun, Xia, Gui-Song, Zhang, Liangpei
Format Journal Article
LanguageEnglish
Published Wuhan Taylor & Francis 02.01.2018
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
Autonomous navigation
Computer vision
Inspection
Literature reviews
Mapping
Navigation
Obstacle avoidance
Path planning
Remote sensing
Sensors
Surveying
Unmanned aerial vehicles
Unmanned aerial vehicles (UAV)
visual SLAM
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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.
AbstractList 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.
Author Zhang, Liangpei
Xue, Zhucun
Xia, Gui-Song
Lu, Yuncheng
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  surname: Xia
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  orcidid: 0000-0001-6890-3650
  surname: Zhang
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Snippet Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past decades, and UAVs have been widely used in industrial inspection, remote...
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SubjectTerms Autonomous navigation
Computer vision
Inspection
Literature reviews
Mapping
Navigation
Obstacle avoidance
Path planning
Remote sensing
Sensors
Surveying
Unmanned aerial vehicles
Unmanned aerial vehicles (UAV)
visual SLAM
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Title A survey on vision-based UAV navigation
URI https://www.tandfonline.com/doi/abs/10.1080/10095020.2017.1420509
https://www.proquest.com/docview/2312263627
https://doaj.org/article/b8d2246b53ab4b1daf89f9569b8b489a
Volume 21
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