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Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems

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Fig. 1.Combining a chain of two poses into a single compound pose.
Fig. 2.Example of compounding K = 100 uncertain transformations (seeSection III-C). The light blue lines and blue dots show 1000 individual sampledtrajectories starting from (0, 0) and moving nominally to the right at constanttranslational speed but with s
Fig. 4.Combining K pose estimates into a single fused estimate.
Fig. 5.Results from the fusion experiment (see Section IV-B). (Left) Averagefinal cost function V as a function of the number of terms N, kept in J −1k .(Right) Same for the root-mean-squared pose error with respect to the true pose.Both plots show there is
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