Title :
IBVS of a rotary wing UAV using line features
Author :
Hui Xie ; Lynch, Alan ; Jagersand, Martin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
We present an image-based visual servoing (IBVS) control scheme which can be used for inspecting power lines using rotary wing UAVs (Unmanned Aerial Vehicles). The control method tracks parallel lines using a virtual camera which is attached to the actual camera but has no roll or pitch displacement. We propose a set of image features from the projected lines on the virtual camera image plane. Based on the features´ interaction matrix an IBVS control law is developed. This proposed scheme is robust to camera calibration errors and does not require depth estimation. Simulation results are presented to illustrate the performance of the approach.
Keywords :
autonomous aerial vehicles; feature extraction; robot vision; visual servoing; IBVS control law; IBVS control scheme; camera calibration errors; depth estimation; image features; image-based visual servoing; interaction matrix; line features; power line inspection; rotary wing UAV; unmanned aerial vehicles; virtual camera; virtual camera image plane; Calibration; Cameras; Feature extraction; Inspection; Three-dimensional displays; Vehicles; Visual servoing;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4799-3099-9
DOI :
10.1109/CCECE.2014.6901119