• Title/Summary/Keyword: camera stabilization platform

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Stabilization of Target Tracking with 3-axis Motion Compensation for Camera System on Flying Vehicle

  • Sun, Yanjie;Jeon, Dongwoon;Kim, Doo-Hyun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.1
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    • pp.43-52
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    • 2014
  • This paper presents a tracking system using images captured from a camera on a moving platform. A camera on an unmanned flying vehicle generally moves and shakes due to external factors such as wind and the ego-motion of the machine itself. This makes it difficult to track a target properly, and sometimes the target cannot be kept in view of the camera. To deal with this problem, we propose a new system for stable tracking of a target under such conditions. The tracking system includes target tracking and 3-axis camera motion compensation. At the same time, we consider the simulation of the motion of flying vehicles for efficient and safe testing. With 3-axis motion compensation, our experimental results show that robustness and stability are improved.

Experimental Verification of Effectiveness of Stabilization Control System for Mobile Surveillance Robot (기동형 경계로봇 안정화 시스템의 실험적 검증)

  • Kim, Sung-Soo;Lee, Dong-Youm;Kwon, Jeong-Joo;Park, Sung-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.4
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    • pp.359-365
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    • 2011
  • A mobile surveillance robot is defined as a surveillance robot system that is mounted on a mobile platform and is used to protect public areas such as airports or harbors from invaders. The mobile surveillance robot that is mounted on a mobile platform consists of a gun module, a camera system module, an embedded control system, and AHRS (Attitude and Heading Reference System). It has two axis control systems for controlling its elevation and azimuth. In order to obtain stable images for targeting invaders, this system requires a stabilizer to compensate any disturbance due to vehicle motion. In this study, a virtual model of a mobile surveillance robot has been created and ADAMS/Matlab simulations have been performed to verify the suitability of the proposed stabilization algorithm. Further, the suitability of the stabilization algorithm has also been verified using a mock-up of the mobile surveillance robot and a 6-DOF (Degree Of Freedom) motion simulator.