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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-01-01
|
| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10095020.2017.1420509 |
| _version_ | 1819229213734993920 |
|---|---|
| author | Yuncheng Lu Zhucun Xue Gui-Song Xia Liangpei Zhang |
| author_facet | Yuncheng Lu Zhucun Xue Gui-Song Xia Liangpei Zhang |
| author_sort | Yuncheng Lu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T11:09:36Z |
| format | Article |
| id | doaj.art-b8d2246b53ab4b1daf89f9569b8b489a |
| institution | Directory Open Access Journal |
| issn | 1009-5020 1993-5153 |
| language | English |
| last_indexed | 2024-12-23T11:09:36Z |
| publishDate | 2018-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj.art-b8d2246b53ab4b1daf89f9569b8b489a2022-12-21T17:49:23ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532018-01-01211213210.1080/10095020.2017.14205091420509A survey on vision-based UAV navigationYuncheng Lu0Zhucun Xue1Gui-Song Xia2Liangpei Zhang3Wuhan UniversityWuhan UniversityWuhan UniversityWuhan UniversityResearch 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.http://dx.doi.org/10.1080/10095020.2017.1420509Unmanned aerial vehicles (UAV)visual SLAMobstacle avoidancepath planning |
| spellingShingle | Yuncheng Lu Zhucun Xue Gui-Song Xia Liangpei Zhang A survey on vision-based UAV navigation Geo-spatial Information Science Unmanned aerial vehicles (UAV) visual SLAM obstacle avoidance path planning |
| title | A survey on vision-based UAV navigation |
| title_full | A survey on vision-based UAV navigation |
| title_fullStr | A survey on vision-based UAV navigation |
| title_full_unstemmed | A survey on vision-based UAV navigation |
| title_short | A survey on vision-based UAV navigation |
| title_sort | survey on vision based uav navigation |
| topic | Unmanned aerial vehicles (UAV) visual SLAM obstacle avoidance path planning |
| url | http://dx.doi.org/10.1080/10095020.2017.1420509 |
| work_keys_str_mv | AT yunchenglu asurveyonvisionbaseduavnavigation AT zhucunxue asurveyonvisionbaseduavnavigation AT guisongxia asurveyonvisionbaseduavnavigation AT liangpeizhang asurveyonvisionbaseduavnavigation AT yunchenglu surveyonvisionbaseduavnavigation AT zhucunxue surveyonvisionbaseduavnavigation AT guisongxia surveyonvisionbaseduavnavigation AT liangpeizhang surveyonvisionbaseduavnavigation |