Browse > Article
http://dx.doi.org/10.14372/IEMEK.2016.11.3.193

Autonomous-flight Drone Algorithm use Computer vision and GPS  

Kim, Junghwan (Semyung University)
Kim, Shik (Semyung University)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.11, no.3, 2016 , pp. 193-200 More about this Journal
Abstract
This paper introduces an algorithm to middle-low price drone's autonomous navigation flight system using computer vision and GPS. Existing drone operative system mainly contains using methods such as, by inputting course of the path to the installed software of the particular drone in advance of the flight or following the signal that is transmitted from the controller. However, this paper introduces new algorithm that allows autonomous navigation flight system to locate specific place, specific shape of the place and specific space in an area that the user wishes to discover. Technology developed for military industry purpose was implemented on a lower-quality hobby drones without changing its hardware, and used this paper's algorithm to maximize the performance. Camera mounted on middle-low price drone will process the image which meets user's needs will look through and search for specific area of interest when the user inputs certain image of places it wishes to find. By using this algorithm, middle-low price drone's autonomous navigation flight system expect to be apply to a variety of industries.
Keywords
Drone; Computer vision; Self-driving; Cam shift; Confusion matrix;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 D. Comaniciu, P. Meer. "Mean shift: A Robust Approach toward Feature Space Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, pp. 603-619, 2002.   DOI
2 Z. Wang, X. Yang, Y. Xu, S. Yu, "CamShift Guided Particle Filter for Visual Tracking," Pattern Recognition Letters, Vol. 30, No. 4, pp. 407-413, 2009.   DOI
3 C. Lim, "Development of Autopilot and Ground Control System for An Unmanned Aerial Vehicle; Development of Automatic Flight Control System and Test & Evaluation for An Unmanned Aerial Vehicle," Korea Aerospace Research Institute, 2001 (in Korean).
4 H. Sung, "드론, 물품수송 등 8개 분야서 2020년까지 상용화," Yonhapnews, http://www.yonhapnews.co.kr/bulletin/2016/01/26/0200000000AKR20160126097200003.HTML
5 B.M. Min, S.S. Shin, H.C. Shim, M.J. Tahk, "Modeling and Autopilot Design of Blended Wing-Body UAV," International Journal of Aeronautical and Space Sciences, Vol. 9, No. 1, pp. 121-128, 2008 (in Korean).   DOI
6 H.S. Choi, S.J. Lee, J.H. Lee, E.T. Kim, D.H. Shim, "Aircraft Longitudinal Auto-landing Guidance Law Using Time Delay Control Scheme," Transactions of The Japan Society for Aeronautical and Space Sciences, Vol. 53, No. 181 pp. 207-214, 2010.   DOI
7 H. Ahn, J. Park, S. Yoo, "A study of the status of UAS Certification System and Airworthiness Standards," Journal of The Korean Society for Aeronautical and Space Sciences, Vol. 42, No. 10, pp. 893-901, 2014 (in Korean).   DOI
8 B. Kamgar-Parsi, "Evaluation of Quantization Error in Computer Vision," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, No. 9, 1989.
9 I. Guyon, E. Andre. "An Introduction to Variable and Feature Selection," The Journal of Machine Learning Research 3, pp. 1157-1182, 2003.
10 F. Shi, L. Wang, Y. Dai, J. H. Gilmore, W. Lin, D. Shen, "LABEL: Pediatric Brain Extraction Using Learning-based Meta-algorithm," Neuroimage, Vol. 62, No. 3, pp. 1975-1986, 2012.   DOI