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In this paper, we provide a systematic study of the task of sensor planning for object search. The search agent's knowledge of object location is encoded as a discrete probability density which is updated whenever a sensing action occurs. Each sensing action of the agent is defined by a viewpoint, a viewing direction, a field-of-view, and the application of(More)
The task of sensor planning for object search is formulated and a strategy for this task is proposed. The searcher is assumed to be a mobile platform equipped with an active camera and a method of calculating depth, like a stereo or laser range nder. The formulation casts sensor planning as an optimization problem: the goal is to maximize the probability of(More)
Introduction Cervical cancer is among the most common cancers in women worldwide. Discovery of biomarkers for the early detection of cervical cancer would improve current screening practices and reduce the burden of disease. Objective In this study, we report characterization of the human cervical mucous proteome as the first step towards protein biomarker(More)
The task of sensor planning for object search is formulated and a mechanism for \where to look next" for this task is presented. The searcher is assumed to be a mobile platform equipped with an active camera and a method of calculating depth, like stereo or a laser range nder. The formulation casts sensor planning as an optimization problem: the goal is to(More)