Secondary sensor data-based soft constraint optimization for pose graph and mapping refinement
AssigneeZoox, Inc.
InventorsTill Kroeger, Veeresh Taranalli, Michael Carsten Bosse
Life of this patent
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AssigneeZoox, Inc.
InventorsTill Kroeger, Veeresh Taranalli, Michael Carsten Bosse
Estimating the term…
A soft-constraint technique for refining an initial pose graph may eschew using a hard constraint that identifies different sensor data and/or poses as necessarily being associated with a same portion of an environment. Instead, the soft-constraint technique may employ a loss function with a convergence basin that may be defined based at least in part on an object classification that strongly penalizes candidate locations within a distance associated with the convergence basin. These candidate locations may be based at least in part on one or more object detections associated (1:1) with one or more poses of the initial pose graph. This may result in one or more candidate locations that do not merge with other candidate locations, giving the pose graph optimization the permissiveness or softness according to the techniques described herein.
A method comprising:
A system comprising:
A non-transitory computer-readable medium storing processor-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
Dependencies are inferred from the claim text.