Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Efficient path-planning algorithms are a crucial issue for modern autonomous underwater vehicles. Classical path-planning algorithms in artificial intelligence are not designed to deal with wide continuous environments prone to currents.  present a novel Fast Marching (FM)-based approach to address the following issues. First,  develop an algorithm  call FM* to efficiently extract a 2-D continuous path from a discrete representation of the environment. Second,  take underwater currents into account thanks to an anisotropic extension of the original FM algorithm. Third, the vehicle turning radius is introduced as a constraint on the optimal path curvature for both isotropic and anisotropic media. Finally, a multiresolution method is introduced to speed up the overall path-planning process
['Clement Petres', 'Yan Pailhas', 'Pedro Patron', 'Yvan Petillot', 'Jonathan Evans', 'David M. Lane']
I am writing a research paper on a idea Path Planning for Autonomous Underwater Vehicles
[{"from": "human", "value": "I am writing a research paper on a idea Path Planning for Autonomous Underwater Vehicles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Efficient path-planning algorithms are a crucial issue for modern autonomous underwater vehicles. Classical path-planning algorithms in artificial intelligence are not designed to deal with wide continuous environments prone to currents.  present a novel Fast Marching (FM)-based approach to address the following issues. First,  develop an algorithm  call FM* to efficiently extract a 2-D continuous path from a discrete representation of the environment. Second,  take underwater currents into account thanks to an anisotropic extension of the original FM algorithm. Third, the vehicle turning radius is introduced as a constraint on the optimal path curvature for both isotropic and anisotropic media. Finally, a multiresolution method is introduced to speed up the overall path-planning process"}]