DocumentCode :
1728528
Title :
Vision-based landing system design for a small UAV
Author :
Yu-Fu Lin ; Wei-Min Lu ; Kuan-Hung Chen ; Jiun-In Guo
Author_Institution :
Dept. of Electron. Eng., Feng-Chia Univ., Taiwan
fYear :
2015
Firstpage :
496
Lastpage :
497
Abstract :
This paper presents a vision-based landing system concept which could be implemented in a small UAV (Unmanned Aerial Vehicle). Vision-based object detection provides object position information of objects such as pedestrian or road, and those detection methods can also provide precise position during the landing stage of aircraft. Besides, the take off weight of a small UAV should be light in order to increase endurance. Vision-based sensor is much low-cost compared with other sensors such as RADAR (Radio Detection And Ranging), LiDAR (Light Detection And Ranging) or DGPS (differential GPS) module. However, vision-based object detection methods have several challenges such as weather conditions, low illumination capability, and high false detection rate in complicated environment. Accordingly, this paper presents a practical method that can conquers the above challenges for vision-based landing system for UAV. In addition to desktop simulation, we also realize the proposed method on a portable device.
Keywords :
aircraft; autonomous aerial vehicles; entry, descent and landing (spacecraft); image sensors; object detection; portable instruments; DGPS; LiDAR; RADAR; aircraft; differential GPS; illumination capability; light detection and ranging; object position information; portable device; radio detection and ranging; small UAV; unmanned aerial vehicle; vision-based landing system; vision-based object detection method; vision-based sensor; weather condition; Adaptation models; Computer architecture; Image edge detection; Lighting; Object detection; Reliability; Tracking; Net-recovery; intelligent vision; object detection; unmanned aerial vehicle; vision-based landing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/ICCE-TW.2015.7217018
Filename :
7217018
Link To Document :
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