Strategies for Multi-Asset Surveillance. Dr. William M. Spears Dimitri Zarzhitsky Suranga Hettiarachchi Wesley Kerr University of Wyoming. Scenario. Target detector. Foliage detector. Maximize the number of T targets found by α assets. Forest Generator. L x L environment
Dr. William M. Spears
University of Wyoming
Maximize the number of T targets found by α assets.
L x L environment
with T targets
Why is SLAF so poor and SSLAF so good?
SL provides uniform coverage of the space. SSLAF provides increased
uniform coverage of the non-foliage space. But SLAF misses entire regions.
What if the targets move slowly from left to right? Will the prior results change?
Why is SLAF so good?
one diagonal (average case SLAF).
whole area (like SL).
one column (best
one row (worst case
Expected number of time
steps for asset to cover area.
SLAF works well on moving targets
because diagonal controller performance
is like column controller performance.