BathyBoat: Autonomous surface command and control for underwater vehicle networks

This paper reports the preparation of two modified Ocean-Server AUV systems and the construction of a new autonomous surface vessel (ASV) for cooperative simultaneous localization and mapping (SLAM) research at the University of Michigan (UMich). The Marine Hydrodynamics Laboratories (MHL) has design...

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Bibliographic Details
Main Authors: Brown, Hunter, Meadows, Guy, Jenkins, Liza, Shuchman, Robert A.
Other Authors: Naval Architecture and Marine Engineering, Department of, Michigan Tech Research Institute, Michigan Technological University, Ann Arbor
Format: Article in Journal/Newspaper
Language:English
Published: 2010
Subjects:
ASV
AUV
Online Access:https://hdl.handle.net/2027.42/65070
id ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/65070
record_format openpolar
spelling ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/65070 2023-08-20T04:08:38+02:00 BathyBoat: Autonomous surface command and control for underwater vehicle networks Brown, Hunter Meadows, Guy Jenkins, Liza Shuchman, Robert A. Naval Architecture and Marine Engineering, Department of Michigan Tech Research Institute, Michigan Technological University Ann Arbor 2010-02 399402 bytes application/pdf https://hdl.handle.net/2027.42/65070 en_US eng https://hdl.handle.net/2027.42/65070 Proceedings of the Underwater Intervention 2010 Conference Autonomous Vehicle ASV AUV Underwater Network Naval Architecture and Marine Engineering Engineering Article 2010 ftumdeepblue 2023-07-31T21:07:30Z This paper reports the preparation of two modified Ocean-Server AUV systems and the construction of a new autonomous surface vessel (ASV) for cooperative simultaneous localization and mapping (SLAM) research at the University of Michigan (UMich). The Marine Hydrodynamics Laboratories (MHL) has designed and fabricated the new ASV BathyBoat to serve as a targeted remote sensing platform and a mobile command and control center for underwater search and survey activities performed by UMich Perceptual Robotics Laboratory (PeRL) AUVs. The ASV is outfitted with a suite of sensors including a RadarSonics 250 acoustic depth sensor, Garmin WAAS-enabled GPS, Honeywell HMR3300 digital compass and accelerometer, Vernier CON-BTA conductivity probe, a WHOI Micro-Modem for two-way communication with the AUVs, and other sensors discussed subsequently. Wireless data transmission from the surface offers the ability to monitor, in real-time, the state of the AUVs. In addition, updated mission objectives can be relayed, from ship or shore, through the ASV for mid- mission adjustments. Ongoing scientific and engineering research objectives are discussed, along with an overview of the new autonomous surface vessel and a summary of field trials on the North Slope of Alaska. NSF #IIS 0746455 ONR #N00014-07-1-0791 Michigan Tech Research Institute http://deepblue.lib.umich.edu/bitstream/2027.42/65070/1/UI2010_Final.pdf Article in Journal/Newspaper north slope Alaska University of Michigan: Deep Blue
institution Open Polar
collection University of Michigan: Deep Blue
op_collection_id ftumdeepblue
language English
topic Autonomous
Vehicle
ASV
AUV
Underwater
Network
Naval Architecture and Marine Engineering
Engineering
spellingShingle Autonomous
Vehicle
ASV
AUV
Underwater
Network
Naval Architecture and Marine Engineering
Engineering
Brown, Hunter
Meadows, Guy
Jenkins, Liza
Shuchman, Robert A.
BathyBoat: Autonomous surface command and control for underwater vehicle networks
topic_facet Autonomous
Vehicle
ASV
AUV
Underwater
Network
Naval Architecture and Marine Engineering
Engineering
description This paper reports the preparation of two modified Ocean-Server AUV systems and the construction of a new autonomous surface vessel (ASV) for cooperative simultaneous localization and mapping (SLAM) research at the University of Michigan (UMich). The Marine Hydrodynamics Laboratories (MHL) has designed and fabricated the new ASV BathyBoat to serve as a targeted remote sensing platform and a mobile command and control center for underwater search and survey activities performed by UMich Perceptual Robotics Laboratory (PeRL) AUVs. The ASV is outfitted with a suite of sensors including a RadarSonics 250 acoustic depth sensor, Garmin WAAS-enabled GPS, Honeywell HMR3300 digital compass and accelerometer, Vernier CON-BTA conductivity probe, a WHOI Micro-Modem for two-way communication with the AUVs, and other sensors discussed subsequently. Wireless data transmission from the surface offers the ability to monitor, in real-time, the state of the AUVs. In addition, updated mission objectives can be relayed, from ship or shore, through the ASV for mid- mission adjustments. Ongoing scientific and engineering research objectives are discussed, along with an overview of the new autonomous surface vessel and a summary of field trials on the North Slope of Alaska. NSF #IIS 0746455 ONR #N00014-07-1-0791 Michigan Tech Research Institute http://deepblue.lib.umich.edu/bitstream/2027.42/65070/1/UI2010_Final.pdf
author2 Naval Architecture and Marine Engineering, Department of
Michigan Tech Research Institute, Michigan Technological University
Ann Arbor
format Article in Journal/Newspaper
author Brown, Hunter
Meadows, Guy
Jenkins, Liza
Shuchman, Robert A.
author_facet Brown, Hunter
Meadows, Guy
Jenkins, Liza
Shuchman, Robert A.
author_sort Brown, Hunter
title BathyBoat: Autonomous surface command and control for underwater vehicle networks
title_short BathyBoat: Autonomous surface command and control for underwater vehicle networks
title_full BathyBoat: Autonomous surface command and control for underwater vehicle networks
title_fullStr BathyBoat: Autonomous surface command and control for underwater vehicle networks
title_full_unstemmed BathyBoat: Autonomous surface command and control for underwater vehicle networks
title_sort bathyboat: autonomous surface command and control for underwater vehicle networks
publishDate 2010
url https://hdl.handle.net/2027.42/65070
genre north slope
Alaska
genre_facet north slope
Alaska
op_relation https://hdl.handle.net/2027.42/65070
Proceedings of the Underwater Intervention 2010 Conference
_version_ 1774721032600420352