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:
Apr. 30, 2019

Filed:

Sep. 08, 2016
Applicant:

Lightmetrics Technologies Pvt. Ltd., Bangalore, IN;

Inventors:

Mithun Uliyar, Bangalore, IN;

Gururaj Putraya, Bangalore, IN;

Soumik Ukil, Bangalore, IN;

Krishna A G, Bangalore, IN;

Ravi Shenoy, Bangalore, IN;

Pushkar Patwardhan, Bangalore, IN;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/20 (2006.01); G06K 9/62 (2006.01); G06K 9/68 (2006.01); G06K 9/78 (2006.01); B60W 40/04 (2006.01); B60W 40/08 (2012.01); G01C 11/04 (2006.01); G08G 1/01 (2006.01); G08G 1/04 (2006.01); G08G 1/052 (2006.01); G08G 1/0967 (2006.01); G06T 7/254 (2017.01); B60R 1/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); B60W 40/04 (2013.01); B60W 40/08 (2013.01); G01C 11/04 (2013.01); G06K 9/00711 (2013.01); G06K 9/00818 (2013.01); G06K 9/00825 (2013.01); G06K 9/2054 (2013.01); G06K 9/6277 (2013.01); G06K 9/6857 (2013.01); G06K 9/78 (2013.01); G06T 7/254 (2017.01); G08G 1/0129 (2013.01); G08G 1/04 (2013.01); G08G 1/052 (2013.01); G08G 1/096783 (2013.01); B60R 1/00 (2013.01); B60R 2300/302 (2013.01); G06T 2207/30261 (2013.01);
Abstract

Advanced driver assistance systems (ADAS) and methods for object detection such as traffic lights, speed signs, in an automotive environment, are disclosed. In an embodiment, ADAS includes camera system for capturing image frames of at least a part of surroundings of vehicle, memory comprising image processing instructions and processing system for detecting one or more objects in a coarse detection followed by a fine detection. Coarse detection includes detecting presence of the one or more objects in non-consecutive image frames of the image frames, where non-consecutive image frames are determined by skipping one or more frames of the image frames. Upon detection of presence of the one or more objects in coarse detection, fine detection of the one or more objects is performed in a predetermined number of neighboring image frames of a frame in which the presence of the objects is detected in coarse detection.


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