1. A system for automatically improving precision of initial localization estimates, comprising: generating an initial set of localization data comprising a plurality of localization estimates; dividing a work volume into a predetermined number of overlapping regions; assigning each localization estimate to any corresponding one or more of the overlapping regions to form one or more clusters of localization estimates in one or more of the overlapping regions; estimating positions of objects represented by each cluster of localization estimates; determining whether any of the objects are duplicate objects by comparing the estimated object positions for clusters in overlapping regions; eliminating each duplicate object; and providing each remaining estimated object position to populate a set of position estimates, said set of position estimates representing a set of improved localization estimates relative to the initial set of localization estimates.