A measurement distribution framework for cooperative navigation using multiple AUVs

In recent years underwater survey and surveillance missions with more than a single Autonomous Underwater Vehicle (AUV) have become more common thanks to more reliable and cheaper platforms, as well as the addition of remote command and control communications using, for example, the WHOI acoustic mo...

Full description

Bibliographic Details
Main Authors: Fallon, Maurice Francis (Contributor), Papadopoulos, Georgios (Contributor), Leonard, John Joseph (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2013-05-14T19:54:21Z.
Subjects:
Online Access:Get fulltext
LEADER 02356 am a22002653u 4500
001 78892
042 |a dc 
100 1 0 |a Fallon, Maurice Francis  |e author 
100 1 0 |a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Fallon, Maurice Francis  |e contributor 
100 1 0 |a Papadopoulos, Georgios  |e contributor 
100 1 0 |a Leonard, John Joseph  |e contributor 
700 1 0 |a Papadopoulos, Georgios  |e author 
700 1 0 |a Leonard, John Joseph  |e author 
245 0 0 |a A measurement distribution framework for cooperative navigation using multiple AUVs 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2013-05-14T19:54:21Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/78892 
520 |a In recent years underwater survey and surveillance missions with more than a single Autonomous Underwater Vehicle (AUV) have become more common thanks to more reliable and cheaper platforms, as well as the addition of remote command and control communications using, for example, the WHOI acoustic modem. However cooperative navigation of AUVs has thus far been limited to a single AUV supported by a dedicated surface vehicle with access to GPS. In this paper a scalable and modular framework is presented in which any number of vehicles can broadcast, forward and acknowledge range, dead-reckoning, feature and GPS measurements so that the full fleet of AUVs can navigate and cooperate in a consistent and accurate manner. The approach is independent of the resultant application-such as recursive state estimation or full pose optimization. Trade-offs between the number of vehicles, the condition of the communication channel and rate at which updates are available are also discussed. Finally performance is illustrated in a realistic experiment. 
520 |a United States. Office of Naval Research (Grant N000140711102) 
520 |a United States. Office of Naval Research. ASAP, Multidisciplinary University Research Initiative 
520 |a Singapore-MIT Alliance for Research and Technology. Center for Environmental Sensing and Monitoring 
546 |a en_US 
655 7 |a Article 
773 |t IEEE International Conference on Robotics and Automation (ICRA), 2010