Heterogeneous Teams of Autonomous Vehicles: Advanced Sensing & Control

摘要

Initial collaborative observations and modeling of a warm effluent plume (Calvert Cliffs Nuclear Power Plant) suggest that coherence length scales in both models and observations are similar leading to confidence in the models for AUV decision making. Studies were initiated to determine if algorithms could be developed that could process current fields and find regions of very low current speed. Tests of the algorithm on a two-dimensional simulated velocity field worked well with true stagnation points found and with no 'false alarms'.