3D interpretation of conics and orthogonality
CVGIP: Image Understanding
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Research on computer vision-based for UAV autonomous landing on a ship
Pattern Recognition Letters
A Vision-Based Guidance System for UAV Navigation and Safe Landing using Natural Landmarks
Journal of Intelligent and Robotic Systems
Low-Cost Visual Tracking of a Landing Place and Hovering Flight Control with a Microcontroller
Journal of Intelligent and Robotic Systems
Automatic Take Off, Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle
Journal of Intelligent and Robotic Systems
Trajectory generation and control for precise aggressive maneuvers with quadrotors
International Journal of Robotics Research
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A Fully Autonomous Indoor Quadrotor
IEEE Transactions on Robotics
Landing a VTOL Unmanned Aerial Vehicle on a Moving Platform Using Optical Flow
IEEE Transactions on Robotics
Opportunities and challenges with autonomous micro aerial vehicles
International Journal of Robotics Research
Journal of Intelligent and Robotic Systems
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In this paper, we compare three different marker based approaches for six degrees of freedom (6DOF) pose estimation, which can be used for position and attitude control of micro aerial vehicles (MAV). All methods are able to achieve real time pose estimation onboard without assistance of any external metric sensor. Since these methods can be used in various working environments, we compare their performance by carrying out experiments across two different platforms: an AscTec Hummingbird and a Pixhawk quadrocopter. We evaluate each method's accuracy by using an external tracking system and compare the methods with respect to their operating ranges and processing time. We also compare each method's performance during autonomous takeoff, hovering and landing of a quadrocopter. Finally we show how the methods perform in an outdoor environment. The paper is an extended version of the one with the same title published at the ICUAS Conference 2013.