A solution to the multiple aspect coverage problem

Matthew J. Bays, Apoorva Shende, Daniel J. Stilwell, Signe Redfield · 2011

We introduce a novel task that arises in underwater search and inspection. In this task, an underwater vehicle must re-acquire and identify clusters of discrete objects. The challenge is to generate an efficient path for the vehicle given a probabilistic description of potential target locations. We propose an algorithm that generates an efficient path and show that the algorithm is superior to standard approaches.

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