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:
Jun. 06, 2023

Filed:

Jul. 01, 2020
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Dipanjan Das, Kolkata, IN;

Brojeshwar Bhowmick, Kolkata, IN;

Aniket Pokale, Telangana, IN;

Krishnan Madhava Krishna, Telangana, IN;

Aditya Aggarwal, Telangana, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/05 (2011.01); G06T 7/55 (2017.01); G06T 7/77 (2017.01); G06T 7/73 (2017.01); G06T 7/174 (2017.01); G06T 15/04 (2011.01);
U.S. Cl.
CPC ...
G06T 17/05 (2013.01); G06T 7/174 (2017.01); G06T 7/55 (2017.01); G06T 7/75 (2017.01); G06T 7/77 (2017.01); G06T 15/04 (2013.01); G06T 2207/10021 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30244 (2013.01);
Abstract

The embodiments herein provide a system and method for integrating objects in monocular simultaneous localization and mapping (SLAM). State of art object SLAM approach use two popular threads. In first, instance specific models are assumed to be known a priori. In second, a general model for an object such as ellipsoids and cuboids is used. However, these generic models just give the label of the object category and do not give much information about the object pose in the map. The method and system disclosed provide a SLAM framework on a real monocular sequence wherein joint optimization is performed on object localization and edges using category level shape priors and bundle adjustment. The method provides a better visualization incorporating object representations in the scene along with the 3D structure of the base SLAM system, which makes it useful for augmented reality (AR) applications.


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