Comparison of three least-squares methods for fusion of data from radar and depth sensors applied for persons' monitoring

摘要

The research reported in this paper is related to the fusion of measurement data from the impulse-radar sensors and infrared depth sensors applied in a system for unobtrusive monitoring of elderly persons. Three least-squares methods - ordinary least squares, total least squares and weighted total least squares - used for fusion of measurement data are compared with respect to their capacity of decreasing the uncertainty of position estimation in a series of experiments which involved the tracking of a moving person.