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:
Aug. 18, 2020

Filed:

Sep. 24, 2019
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Mohit Ludhiyani, Kolkata, IN;

Vishvendra Rustagi, Kolkata, IN;

Arnab Sinha, Kolkata, IN;

Ranjan Dasgupta, Kolkata, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06T 7/277 (2017.01); G01C 3/08 (2006.01); B64C 39/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G01C 3/08 (2013.01); G06T 7/277 (2017.01); B64C 39/024 (2013.01);
Abstract

Robotic vision-based framework wherein an on-board camera device is used for scale estimation. Unlike conventional scale estimation methods that require inputs from more than one or more sensors, implementations include a system and method to estimate scale online solely, without any other sensor, for monocular SLAM by using multirotor dynamics model in an extended Kalman filter framework. This approach improves over convention scale estimation methods which require information from some other sensors or knowledge of physical dimension of an object within the camera view. An arbitrary scaled position and an Euler angle of a multirotor are estimated from vision SLAM (simultaneous localization and mapping) technique. Further, dynamically integrating, computed acceleration to estimate a metric position. A scale factor and a parameter associated with the multirotor dynamics model is obtained by comparing the estimated metric position with the estimated arbitrary position.


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