University of Pennsylvania

Walgreen Company

Jonas Cleveland

Kostas Daniilidis

Vijay Kumar

John M Bergstrom

Cody Philips

Dinesh Thakur

Terry Kientz

Philip Dames

A method for automatically mapping a store layout includes identifying a path for traversing a retail area and capturing images of the retail area at various points along the path. The images may be analyzed to identify visual characteristics which may be compared to a template of retail products in a template library. When an object depicted in the image matches with a retail product in the template library, the object may correspond to the retail product. Additionally, a retail department for the object may also be identified. The retail department may be compared to the retail product corresponding to the object, and when the retail product is not associated with the retail department, another retail product which is associated with the retail department may be identified as corresponding to the object. A map of the store layout may be generated based on the identified retail products.

Automatic mapping of store layout using soft object recognition

Autonomous vehicle for mapping store layout

The subject matter described herein includes methods for visual odometry using rigid structures identified by an antipodal transform. One exemplary method includes receiving a sequence of images captured by a camera. The method further includes identifying rigid structures in the images using an antipodal transform. The method further includes identifying correspondence between rigid structures in different image frames. The method further includes estimating motion of the camera based on motion of corresponding rigid structures among the different image frames.

Methods, systems, and computer readable media for visual odometry using rigid structures identified by antipodal transform

Growing community of inventors

Plainfield, NJ, United States of America

Jonas Cleveland