면역 알고리즘을 이용한 쿼드로터 장애물회피 기술
An Obstacle Avoidance Technique of Quadrotor Using Immune Algorithm
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초록
In recent, autonomous navigation techniques to avoid obstacles have been studied by using unmanned aircraft vehicles(UAVs) since the increment of UAV's interest and utilization. Particularly, autonomous navigation based UAVs are utilized in several areas such as military, police, media, and so on. However, there are still some problems to avoid obstacle when UVAs perform autonomous navigation. For instance, the UAV can not forward in the corner of corridors even though it utilizes the improved vanish point algorithm that makes an autonomous navigation system. Therefore, in this paper, we propose an obstacle avoidance technique based on immune algorithm for autonomous navigation of Quadrotor. The proposed algorithm is consisted of two steps such as 1) single color discrimination and 2) multiple color discrimination. According to the result of experiments, we can solve the previous problem of the improved vanish point algorithm and improve the performance of autonomous navigation of Quadrotor.
Abstract
In recent, autonomous navigation techniques to avoid obstacles have been studied by using unmanned aircraft vehicles(UAVs) since the increment of UAV's interest and utilization. Particularly, autonomous navigation based UAVs are utilized in several areas such as military, police, media, and so on. However, there are still some problems to avoid obstacle when UVAs perform autonomous navigation. For instance, the UAV can not forward in the corner of corridors even though it utilizes the improved vanish point algorithm that makes an autonomous navigation system. Therefore, in this paper, we propose an obstacle avoidance technique based on immune algorithm for autonomous navigation of Quadrotor. The proposed algorithm is consisted of two steps such as 1) single color discrimination and 2) multiple color discrimination. According to the result of experiments, we can solve the previous problem of the improved vanish point algorithm and improve the performance of autonomous navigation of Quadrotor.
참고문헌 (13)
- L. Brief, "Growth Opportunity in Global UAV Market", Proceedings of Lucintel Brief (2011)
- C. Goerzen, "A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance", Journal of Intelligent Robot Systems, 57(1-4), pp.65~100 (2010)
- 강영신, "스마트 무인기의 지상시험을 통한 비행제어 성능분석", 항공우주기술, 9(1), pp.1~8 (2010), 한국항공우주연구원
- 손병락, "실시간 쿼드로터 자율주행과 원격제어 기법", 대한임베디드공학회논문지, 8(4), pp.205~212 (2013), 대한임베디드공학회
- P. Bristeau, "The Navigation and Control technology inside the AR. Drone micro UAV", Proceedings of IFAC World Congress, pp.1477~1484 (2011)
- C. Bills, "Autonomous MAV Flight in Indoor Environments using Single Image Perspective Cues", Proceedings of IEEE International Conference on Robotics and Automation, pp.5776~5783 (2011)
- A. Huang, "Visual odometry and mapping for autonomous flight using an RGB-D Camera", Proceedings of the International Symposium on Robotics Research (2011)
- E. Morimoto, "Obstacle Avoidance System for Autonomous Transportation Vehicle based on Image Processing", Journal of Scientific Research and Development, 4, pp.1~11 (2002)
- K. Boudjit, "Control of Flight Operation of a Quad rotor AR. Drone Using Depth Map from Microsoft Kinect Sensor", International Journal of Engineering and Innovative Technology, 3(3), pp.15~19 (2013)
- J. Engel, "Camera-based navigation of a low-cost quadrocopter", Proceedings of IEEE, 2012, 2815~2821
- R. Challoo, "Navigation control and path mapping of a mobile robot using artificial immune systems", International Journal of Robotics and Automation, 1(1), pp.1~25 (2010)
- Understanding the Immune System How It Works, "U.S. Dept. of Health and Human Services National Institutes of Health", NIH, 1~54, pp.NIH Publication No. 07-5423 (2007)