Autonomous underwater pipeline monitoring navigation system

Byrel Mitchell; Nina Mahmoudian; Guy Meadows

doi:10.1117/12.2055178

13 June 2014 Autonomous underwater pipeline monitoring navigation system

Byrel Mitchell, Nina Mahmoudian, Guy Meadows

Proceedings Volume 9090, Automatic Target Recognition XXIV; 90900D (2014) https://doi.org/10.1117/12.2055178
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

This paper details the development of an autonomous motion-control and navigation algorithm for an underwater autonomous vehicle, the Ocean Server IVER3, to track long linear features such as underwater pipelines. As part of this work, the Nonlinear and Autonomous Systems Laboratory (NAS Lab) developed an algorithm that utilizes inputs from the vehicles state of the art sensor package, which includes digital imaging, digital 3-D Sidescan Sonar, and Acoustic Doppler Current Profilers. The resulting algorithms should tolerate real-world waterway with episodic strong currents, low visibility, high sediment content, and a variety of small and large vessel traffic.

Citation Download Citation

Byrel Mitchell, Nina Mahmoudian, and Guy Meadows "Autonomous underwater pipeline monitoring navigation system", Proc. SPIE 9090, Automatic Target Recognition XXIV, 90900D (13 June 2014); https://doi.org/10.1117/12.2055178

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available