Title : 
Close-quarters Quadrotor flying for a pole inspection with position based visual servoing and high-speed vision
         
        
            Author : 
Inkyu Sa ; Corke, Peter
         
        
            Author_Institution : 
CyPhy Lab., Queensland Univ. of Technol., Brisbane, QLD, Australia
         
        
        
        
        
        
            Abstract : 
This paper presents a 100 Hz monocular position based visual servoing system to control a quadrotor flying in close proximity to vertical structures approximating a narrow, locally linear shape. Assuming the object boundaries are represented by parallel vertical lines in the image, detection and tracking is achieved using Plücker line representation and a line tracker. The visual information is fused with IMU data in an EKF framework to provide fast and accurate state estimation. A nested control design provides position and velocity control with respect to the object. Our approach is aimed at high performance on-board control for applications allowing only small error margins and without a motion capture system, as required for real world infrastructure inspection. Simulated and ground-truthed experimental results are presented.
         
        
            Keywords : 
Kalman filters; aerospace robotics; aircraft control; helicopters; inspection; nonlinear filters; position control; robot vision; velocity control; visual servoing; EKF framework; IMU data; Plücker line representation; close-quarters quadrotor; frequency 100 Hz; high performance on-board control; high-speed vision; infrastructure inspection; line tracker; linear shape; monocular position; nested control design; parallel vertical lines; pole inspection; position based visual servoing; position control; quadrotor control; state estimation; velocity control; vertical structures; visual information; visual servoing system; Cameras; Computational modeling; Estimation; Mathematical model; Sensors; Vectors; Vehicles;
         
        
        
        
            Conference_Titel : 
Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
         
        
            Conference_Location : 
Orlando, FL
         
        
        
            DOI : 
10.1109/ICUAS.2014.6842306