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Vision-Based Autonomous Landing for Small-Scale Unmanned Rotorcraft

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3 Author(s)
Dongwoon Jeon ; Dept. of Internet & Multimedia Eng., Konkuk Univ., Seoul, South Korea ; Kiho Cho ; Doo-Hyun Kim

Autonomous landing is a challenging issue for unmanned aerial vehicles (UAVs). This paper presents a system that provides vision-based autonomous landing for small-scale unmanned rotorcraft. This approach utilizes dual image sensors facing downward and performs digital image processing techniques such as the blocked histogram matching and the template matching techniques to ensure the timeliness in altitude estimations. The experimental results show the applicability of these approaches in real-world flights.

Published in:

Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2011 14th IEEE International Symposium on

Date of Conference:

28-31 March 2011