Planning the Minimum Time Course for Autonomous Underwater Vehicle in Uncertain Current
Michael A. Hurni, Kiriakos Kiriakidis, John William Nicholson · 2013
The authors developed an approach to a “best” time path for Autonomous Underwater Vehicles sailing uncertain currents. The numerical optimization tool DIDO is used to compute minimum time paths for a sample of currents between ebb and flow. A simulated meta-experiment is performed where the vehicle traverses the resulting paths under different current strengths per run. The fastest elapsed time emerges from a payoff table.