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:

Jul. 10, 2020
Applicant:

Deka Products Limited Partnership, Manchester, NH (US);

Inventors:

Dirk A. Van Der Merwe, Canterbury, NH (US);

Arunabh Mishra, Manchester, NH (US);

Christopher C. Langenfeld, Nashua, NH (US);

Michael J. Slate, Merrimack, NH (US);

Christopher J. Principe, Nahant, NH (US);

Gregory J. Buitkus, Dracut, MA (US);

Justin M. Whitney, Goffstown, NH (US);

Raajitha Gummadi, Manchester, NH (US);

Derek G. Kane, Manchester, NH (US);

Emily A. Carrigg, Weare, NH (US);

Patrick Steele, Bedford, NH (US);

Benjamin V. Hersh, Raymond, NH (US);

Fnu G Siva Perumal, Manchester, NH (US);

David Carrigg, Manchester, NH (US);

Daniel F. Pawlowski, Raymond, NH (US);

Yashovardhan Chaturvedi, Manchester, NH (US);

Kartik Khanna, Manchester, NH (US);

Assignee:

DEKA Products Limited Partnership, Manchester, NH (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G01C 21/00 (2006.01); G05D 1/00 (2006.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G01C 21/3811 (2020.08); G05D 1/0044 (2013.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 1/0242 (2013.01); G05D 1/0246 (2013.01); G05D 1/0276 (2013.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01); G05D 2201/0216 (2013.01); G06V 10/44 (2022.01);
Abstract

An autonomous vehicle having sensors advantageously varied in capabilities, advantageously positioned, and advantageously impervious to environmental conditions. A system executing on the autonomous vehicle that can receive a map including, for example, substantially discontinuous surface features along with data from the sensors, create an occupancy grid based upon the map and the data, and change the configuration of the autonomous vehicle based upon the type of surface on which the autonomous vehicle navigates. The device can safely navigate surfaces and surface features, including traversing discontinuous surfaces and other obstacles.


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