DocumentCode :
164087
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
fYear :
2014
fDate :
27-30 May 2014
Firstpage :
623
Lastpage :
631
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/ICUAS.2014.6842306
Filename :
6842306
Link To Document :
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