Target Brands, Inc.

Michael Lissick

Eric Runquist

Clayton Black

Joakim Sternberg

Chelsea Kane

Aaron Decker

Randy Carlson

Debbie Bell

Ben Podoll

In some implementations, a method performed by data processing apparatuses includes receiving map data that identifies a layout of physical objects within a physical area, identifying contiguous groups of the physical objects as composite objects, selecting bounding algorithms to use for generating graphical shapes for the composite objects, generating graphical shapes by applying the selected bounding algorithms to the composite objects, and testing the graphical shapes against one or more criteria. For candidate graphical shapes that fail a test, a new bounding algorithm can be selected and the generating and the testing can be repeated using the new bounding algorithm. A simplified graphical map can be output that represents the physical objects within the physical area using the graphical shapes.

Generating simplified map shapes

In some implementations, a method performed by data processing apparatuses includes receiving stored map data corresponding to a digital map, identifying a discrepancy between the digital map and a physical space which the digital map represents, updating the digital map to correct the identified discrepancy, storing the updated digital map, and optionally providing the updated digital may for presentation on a device display.

Map accuracy

In some implementations, a method performed by data processing apparatuses includes receiving, from a requestor device, an item location request for an item. Map information is received for a mapped space in which the item is located. Item location coordinates are received corresponding to locations within the mapped space at which the item has been previously selected or scanned. The item location coordinates are mapped with respect to the mapped space, and a plurality of clusters are determined for the item location coordinates. For each cluster, a representative location of the cluster is determined. One of the clusters is selected, based at least in part on its representative location, and an estimated location of the item is provided to the requestor device, based at least in part on the representative location of the selected cluster.

Determining item locations using crowdsourced data

Growing community of inventors

Minneapolis, MN, United States of America

Michael Lissick