The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 12, 2024

Filed:

Mar. 19, 2021
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Shreekant Gayaka, San Jose, CA (US);

Boshen Niu, San Mateo, CA (US);

Simon Edwards-Parton, Palo Alto, CA (US);

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/10 (2006.01); G01C 21/20 (2006.01); G05D 1/00 (2006.01); G06T 7/246 (2017.01); G06T 7/60 (2017.01); G06T 7/73 (2017.01); G06V 20/56 (2022.01); G10L 15/08 (2006.01); G10L 15/22 (2006.01); H04R 1/32 (2006.01); H04R 3/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0214 (2013.01); G01C 21/206 (2013.01); G05D 1/0088 (2013.01); G05D 1/0238 (2013.01); G06T 7/248 (2017.01); G06T 7/60 (2013.01); G06T 7/74 (2017.01); G06V 20/56 (2022.01); G10L 15/08 (2013.01); G10L 15/22 (2013.01); H04R 1/326 (2013.01); H04R 3/005 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30252 (2013.01); G10L 2015/088 (2013.01);
Abstract

A physical space contains stationary objects that do not move over time (e.g., a couch) and may have non-stationary objects that do move over time (e.g., people and pets). An autonomous mobile device (AMD) determines and uses an occupancy map of stationary objects to find a route from one point to another in a physical space. Non-stationary objects are detected and prevented from being incorrectly added to the occupancy map. Point cloud data is processed to determine first candidate objects. Image data is processed to determine second candidate objects. These candidate objects are associated with each other and their characteristics assessed to determine if the candidate objects are stationary or non-stationary. The occupancy map is updated with stationary obstacles. During navigation, the occupancy map may be used for route planning while the non-stationary objects are used for local avoidance.


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