Amazon Technologies, Inc.

Ishan Ankur Patil

David Allen Fotland

Yan Lu

Joydeep Biswas

An autonomous mobile device moves through a physical space using simultaneous localization and mapping (SLAM) techniques. SLAM processes images from cameras to determine localization and trajectory of the device based on features that are assumed to be stationary. SLAM performance is improved by removing moving features from consideration. A first position of a feature at a first time and data from an inertial sensor are used to determine a predicted position at a second time. The predicted position is compared to a second position of the feature at the second time. This comparison takes into consideration an assumed Gaussian error distribution of how the positions are determined. If the predicted position differs from the second position by less than a threshold value, the feature may be determined to be stationary. The stationary features are then processed using SLAM to determine the localization and trajectory information.

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Mountain View, CA, United States of America

Ishan Ankur Patil