Title :
Rotorcraft collision avoidance using spherical image-based visual servoing and single point features
Author :
McFadyen, Aaron ; Corke, Peter ; Mejias, Luis
Author_Institution :
Fac. of Sci. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia
Abstract :
This paper presents a reactive collision avoidance method for small unmanned rotorcraft using spherical image-based visual servoing. Only a single point feature is used to guide the aircraft in a safe spiral like trajectory around the target, whilst a spherical camera model ensures the target always remains visible. A decision strategy to stop the avoidance control is derived based on the properties of spiral like motion, and the effect of accurate range measurements on the control scheme is discussed. We show that using a poor range estimate does not significantly degrade the collision avoidance performance, thus relaxing the need for accurate range measurements. We present simulated and experimental results using a small quad rotor to validate the approach.
Keywords :
autonomous aerial vehicles; cameras; collision avoidance; feature extraction; robot vision; visual servoing; decision strategy; quad rotor; range measurements; reactive collision avoidance method; rotorcraft collision avoidance; single point features; spherical camera model; spherical image-based visual servoing; spiral like motion property; spiral like trajectory; unmanned rotorcraft; Aircraft; Azimuth; Cameras; Collision avoidance; Optical imaging; Spirals;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4673-1737-5
DOI :
10.1109/IROS.2012.6386164