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Median trajectory length against speed and inflow angle for the current-informed A* path planner (C.I. A * ), current-informed neural network (C.I. NN ), wake-informed A* path planner (W.I. A * ) and wake-informed neural network (W.I. NN )

Median trajectory length against speed and inflow angle for the current-informed A* path planner (C.I. A * ), current-informed neural network (C.I. NN ), wake-informed A* path planner (W.I. A * ) and wake-informed neural network (W.I. NN )

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Figure 1: Front side view of the domain. Larger vehicle geometry...
Figure 2: Bottom view of the approach. Larger vehicle geometry...
Figure 3: Front side view of the domain with multiple trajectories...
Figure 4: Standard deviation of the energy expenditure against speed...
Figure 5: Median trajectory length against speed and inflow angle for...
Wake-Informed 3D Path Planning for Autonomous Underwater Vehicles Using A* and Neural Network Approximations
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  • Feb 2025
Autonomous Underwater Vehicles (AUVs) encounter significant energy, control and navigation challenges in complex underwater environments, particularly during close-proximity operations, such as launch and recovery (LAR), where fluid interactions and wake effects present additional navigational and energy challenges. Traditional path planning method...
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