Date of Award
2013
Document Type
Thesis
Degree Name
Master of Science in Engineering (MSE)
Department
Mechanical and Aerospace Engineering
Committee Chair
Farbod Fahimi
Committee Member
Nathan J. Slegers
Committee Member
Yuri Shtessel
Subject(s)
Underwater imaging systems, Remote submersibles, Robotics, Mobile robots, Autonomous robots, Intelligent control systems
Abstract
Vision based control (Visual Servoing) of an autonomous 6-DOF vehicle is considered in this thesis. The vehicle is to be navigated underwater using the cameras mounted on its body. With the new developed algorithm, the need for underwater GPS, Tilt Sensors and other costly devices is eliminated. The new algorithm overcomes the shortcomings of the existing algorithms, PBVS (Position-Based Visual Servoing) and IBVS (Image-Based Visual Servoing). The underwater vehicle is navigated using the image feedback obtained from the cameras. These image features are fed to the control system on the vehicle which in turn generates the desired motion. Simulations runs in MATLAB/SIMULINK give satisfactory results of the algorithm.
Recommended Citation
Thakur, Karansingh, "Vision based control of autonomous underwater vehicles" (2013). Theses. 48.
https://louis.uah.edu/uah-theses/48