Title :
Vision-based autonomous landing system for unmanned aerial vehicle: A survey
Author :
Weiwei Kong ; Dianle Zhou ; Daibing Zhang ; Jianwei Zhang
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol. (NUDT), Changsha, China
Abstract :
Recently, there has been growing interest in developing unmanned aircraft system (UAS) based on visual sensors. During the whole autonomous assignment, the landing procedure is one of the most dangerous and challenging process. For most of unmanned aircraft vehicle, visual sensors are the basic equipment, which are also widely used during the landing maneuver. This paper first presents the main research groups involved in the development of vision-based autonomous landing systems. Then it discusses the detail of each algorithms and systems in different categories. The goal of this paper is to review the state-of-the-art vision-based autonomous landing methods that captures all milestones and seminal works. These algorithms and systems are classified into different categories. Finally, the paper highlights challenges in this research field.
Keywords :
autonomous aerial vehicles; image sensors; robot vision; visual servoing; UAS; UAV; autonomous assignment; landing maneuver; landing procedure; unmanned aerial vehicle; unmanned aircraft system; vision-based autonomous landing system; visual sensors; Automation; Cameras; Helicopters; Robots; Sensors; Unmanned aerial vehicles; Visualization;
Conference_Titel :
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6731-5
DOI :
10.1109/MFI.2014.6997750