Towards Real-Time Search Planning in Subsea Environments

James Mcmahon1, Harun Yetkin2, Artur Wolek3, Zachary Waters4, Daniel Stilwell2

  • 1The Naval Research Laboratory
  • 2Virginia Tech
  • 3Naval Research Laboratory
  • 4US Naval Research Laboratory

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10:30 - 12:00 | Mon 25 Sep | Room 116 | MoAT3

Autonomous Agents I

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Abstract

We address the challenge of computing search paths in real-time for subsea applications where the goal is to locate an unknown number of targets on the seafloor. Our approach maximizes a formal definition of search effectiveness given finite search effort. We account for false positive measurements and variation in the performance of the search sensor due to geographic variation of the seafloor. We compare near-optimal search paths that can be computed in real-time with optimal search paths for which real-time computation is infeasible. We show how sonar data acquired for locating targets at a specific location can also be used to characterize the performance of the search sonar at that location. Our approach is illustrated with numerical experiments where search paths are planned using sonar data previously acquired from Boston Harbor.

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