Multiple autonomous vehicles for minefield reconnaissance and mapping
Starr, Jack A.
Heale, Anthony J.
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The development of numerical search modeling for Autonomous Search Vehicles (ASV's) is an essential tool for development of ASV strategy using groups of small, crawling vehicles. Reconnaissance of surf-zone bottoms for mines and obstacles, as well as providing an environmental mapping capability, is the objective. These models allow numerical simulations to be conducted that determine the relationships between search times, target and obstacle sensing radius, vehicle speed and numbers of vehicles using simple, preprogrammed search strategies. The results from these simulations on intial models can then be used to determine the overall system performance.More complex models can then be developed using search strategies that include directed search, avoidance behaviors, networking and mapping with sufficient navigational accuracy. With sufficient information on their behavior of these vehicles, the ultimate goal of providing an autonomous reconnaissance and neutralization capability in very shallow water and surf zones can be realized.
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Diaz, J. Enrique Reyes (Monterey, California. Naval Postgraduate School, 1999-12-01);In an era when mines are inexpensive and easily accessible, present mine detection and area reconnaissance capabilities are insufficient to enable unencumbered maneuver in the littoral regions. Unmanned undersea vehicles ...
Kragelund, Sean (2017-04-12);Networked autonomous vehicles have great potential in a wide range of littoral sensing applications, including mine countermeasures (MCM), undersea warfare (USW), and intelligence, surveillance, and reconnaissance (ISR) ...
Chuhran, Christopher D. (Monterey, California. Naval Postgraduate School, 2003-09);As the Navy continues its development of unmanned underwater vehicles, the need for total autonomous missions grows. Autonomous Underwater Vehicles (AUV) allow for advances in mine warfare, harbor reconnaissance, undersea ...