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Fida generated datasets through TBG code for various landmarks. Each landmark has hundreds of estimates for its possible geolocation. All of these estimates (for each landmark) are put into a file (estimates.out). TBG by default takes the first entry from each file and calculates the error against its (known) original position. Fida took other estimates for landmarks and found that other values can potentially reduce the error. So the problem statement was to find which value can yield minimum possible error and maximum possible accuracy without knowing the original position of the landmark.
Assumption:
We consider no estimate as the best onedo not consider or use the actual location in any of the calculations, rather we try to find which estimate yields maximum number of other estimates in its vicinity.
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