Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows Using a GPU-Accelerated Algorithm

Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows Using a GPU-Accelerated Algorithm

Autonomous marine vehicles play an essential role in many ocean science and engineering applications. Planning time and energy optimal paths for these vehicles to navigate in stochastic dynamic ocean environments are essential to reduce operational costs. In some missions, they must also harvest sol...

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Bibliographic Details
Main Authors: Chowdhury, R. (Author), Subramani, D. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Autonomous underwater vehicles
Autonomous vehicles
Computational modeling
Computational modelling
Decision making
Energy harvesting
Energy utilization
Graphics processing unit
Heuristic algorithms
Heuristics algorithm
Iterative methods
Marine applications
Markov processes
Motion planning
Ocean model
Oceanography
Oceans
Optimization
parallel programming
Planning
Program processors
Stochastic models
stochastic ocean modeling
Stochastic ocean modeling
Stochastic processes
Stochastic systems
Stochastics
Transition probabilities
transition probability
Uncertainty
Value iteration
value iteration (VI)
Vehicle dynamics
Vehicle's dynamics
Wave energy conversion
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