  The problem is area-restricted search for targets using an autonomous mobile
sensing platform. Detection is imperfect: the probability of detection depends
on the range to the target, while the probability of false detections is
non-zero. The paper develops an intermittent information-driven search
strategy, which combines fast and non-receptive displacement phase (ballistic
phase) with a slow displacement sensing phase. Decisions where to move next,
both in the ballistic phase and the slow displacement phase, are
information-driven: they maximise the expected information gain. The paper
demonstrates the efficiency of the proposed strategy in the context of a search
for underwater targets: the searcher is an autonomous amphibious drone which
can both fly and land or takeoff from the sea surface.
