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:
Dec. 27, 2016

Filed:

Dec. 23, 2014
Applicant:

Volkswagen Ag, Wolfsburg, DE;

Inventors:

Tuan Tran Nguyen, Magdeburg, DE;

Daniel Lipinski, Belmont, CA (US);

Jens Spehr, Wolfsburg, DE;

Assignee:

VOLKSWAGEN AG, Wolfsburg, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/52 (2006.01); G06K 9/46 (2006.01); G06T 7/00 (2006.01); G06T 7/20 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00798 (2013.01); G06K 9/4661 (2013.01); G06K 9/52 (2013.01); G06T 7/0083 (2013.01); G06T 7/0087 (2013.01); G06T 7/208 (2013.01); G06T 7/2033 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30256 (2013.01);
Abstract

An in-vehicle system for estimating a lane boundary based on raised pavement markers that mark the boundary. The in-vehicle system includes a camera for obtaining image data regarding reflective raised pavement markers and non-reflective raised pavement markers, an image processor for processing frames of image data captured by the camera, a lidar detector for obtaining lidar data regarding reflective raised pavement markers, and a lidar processor for processing frames of lidar data captured by the lidar detector. The image processor generates a first probabilistic model for the lane boundary and the lidar processor generates a second probabilistic model for the lane boundary. The in-vehicle system fuses the first probabilistic model and the second probabilistic model to generate a fused probabilistic model and estimates the lane boundary based on the fused probabilistic model.


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