Paper
9 May 2006 Autonomous maritime navigation: developing autonomy skill sets for USVs
Author Affiliations +
Abstract
Many emerging UV (Unmanned Vehicle) cooperative control systems utilizing mission decomposition and generic UV management techniques are UAV (Unmanned Aerial Vehicle) oriented and transition well from model simulations to hardware due to the relative homogeneity of the air environment. Unmanned Surface Vehicles (USV's) and other ground borne vehicles, to function robustly, must have an additional onboard capacity to negotiate local environmental and indigenous operational factors in order to be commanded by a network, and this capacity is most easily delineated into Skill Sets. The Autonomous Maritime Navigation Program (AMN) is developing USV systems which target full intelligent autonomous operations and autonomy Skill Sets to allow USV's to perform unsupervised complex missions over extended time periods at the platform level with minimum human supervision. Importantly, this allows control systems developed for cooperating UV's to effectively control USV's by enabling local platform issues decision making at the platform level. Using a 40 foot laboratory boat, advanced on-board control, sensing, data fusion, physical plant and payload monitoring and management are being adapted and integrated as a system to replace traditional human crew functions. This paper discusses a path to achieve the goal of full USV autonomy equipped with skills to self manage, survive and navigate, and progress being made with enabling technology pieces. Initiatives and partnerships have been formed with academia, industry, and other DoD laboratories to these ends in both independent and collaborative RDT&E projects. Discussion includes ongoing work in sensing, data fusion, dynamic mission planning, execution and boat operations, and integration to JAUS/TCS control protocols.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric Hansen, Terry Huntsberger, and Les Elkins "Autonomous maritime navigation: developing autonomy skill sets for USVs", Proc. SPIE 6230, Unmanned Systems Technology VIII, 62300U (9 May 2006); https://doi.org/10.1117/12.666936
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Control systems

Sensors

Navigation systems

Human-machine interfaces

Cameras

Data fusion

Computing systems

RELATED CONTENT

Overview of a hybrid underwater camera system
Proceedings of SPIE (May 23 2014)
High-speed 1280x1024 camera with 12-Gbyte SDRAM memory
Proceedings of SPIE (April 11 2001)
Gemini: a dual tracker
Proceedings of SPIE (August 03 1999)
From supervisory control to cooperative control
Proceedings of SPIE (November 08 1999)

Back to Top