An analytic solution for the perspective 4-point problem
Computer Vision, Graphics, and Image Processing
Performance of optical flow techniques
International Journal of Computer Vision
Control of a Quadrotor Helicopter Using Dual Camera Visual Feedback
International Journal of Robotics Research
Modeling and Real-Time Stabilization of an Aircraft Having Eight Rotors
Journal of Intelligent and Robotic Systems
Real-time stabilization of an eight-rotor UAV usingoptical flow
IEEE Transactions on Robotics
Vision-based Position Control of a Two-rotor VTOL miniUAV
Journal of Intelligent and Robotic Systems
Combining Stereo Vision and Inertial Navigation System for a Quad-Rotor UAV
Journal of Intelligent and Robotic Systems
Quadrocopter control using an on-board video system with off-board processing
Robotics and Autonomous Systems
Journal of Intelligent and Robotic Systems
Tracking a Ground Moving Target with a Quadrotor Using Switching Control
Journal of Intelligent and Robotic Systems
Modeling and Adaptive Tracking Control of a Quadrotor UAV
International Journal of Intelligent Mechatronics and Robotics
A HIL Testbed for Initial Controller Gain Tuning of a Small Unmanned Helicopter
Journal of Intelligent and Robotic Systems
Adaptive Nonlinear Stabilization Control for a Quadrotor UAV: Theory, Simulation and Experimentation
Journal of Intelligent and Robotic Systems
Stability Analysis of a Vision-Based UAV Controller
Journal of Intelligent and Robotic Systems
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We propose a vision-based position control method, with the purpose of providing some level of autonomy to a quad-rotor unmanned aerial vehicle. Our approach estimates the helicopter X-Y-Z position with respect to a landing pad on the ground. This technique allows us to measure the position variables that are difficult to compute when using conventional navigation systems, for example inertial sensors or Global Positioning Systems in urban environment or indoor. We also present a method to measure translational speed in a local frame. The control strategy implemented is based on a full state feedback controller. Experimental results validate the effectiveness of our method.