Vision aided unmanned aerial vehicle autonomy: An overview

Author

Liu, Yu-chi ; Dai, Qiong-hai

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing, China

Volume

1

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

417

Lastpage

421

Abstract

Camera on-board Unmanned Aerial Vehicle (UAV) is not just a device to capture images and video. Computer vision helps UAV senses and recovers environmental information around it. In addition, computer vision techniques, such as stereo vision, optical flow fields etc. play very important roles in UAV autonomy. This paper investigates researches on computer vision applied in UAV autonomy. Visual servoing technique integrates visual methods and UAV flight control. Researches on this topic are classified into three catalogues: vision-based navigation, aerial surveillance and airborne visual Simultaneous Localization and Mapping (SLAM).

Keywords

SLAM (robots); aerospace control; aircraft navigation; computer vision; image sequences; remotely operated vehicles; space vehicles; stereo image processing; video surveillance; visual servoing; SLAM; UAV autonomy; UAV flight control; UAV senses; aerial surveillance; airborne visual simultaneous localization and mapping; camera on-board unmanned aerial vehicle; computer vision techniques; environmental information; optical flow fields; stereo vision; vision aided unmanned aerial vehicle autonomy; vision-based navigation; visual servoing technique; Cameras; Computer vision; Simultaneous localization and mapping; Target tracking; Unmanned aerial vehicles; Visual servoing; Visualization; UAV autonomy; aerial surveillance; airborne visual SLAM; computer visison; visual navigation; visual servoing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647995

Filename

5647995