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.

Patent No.:

US 9139203 B1

PDF
Full Text
Expired
Date of Patent:
Sep. 22, 2015

Filed:

Nov. 04, 2011
Applicants:

Nikolai K. Moshchuk, Grosse Pointe, MI (US);

Shuqing Zeng, Sterling Heights, MI (US);

Xingping Chen, Warren, MI (US);

Bakhtiar Brian Litkouhi, Washington, MI (US);

Inventors:

Nikolai K. Moshchuk, Grosse Pointe, MI (US);

Shuqing Zeng, Sterling Heights, MI (US);

Xingping Chen, Warren, MI (US);

Bakhtiar Brian Litkouhi, Washington, MI (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 19/00 (2011.01); B60W 30/12 (2006.01);
U.S. Cl.
CPC ...
B60W 30/12 (2013.01); B60W 2420/42 (2013.01);
Abstract

A lane tracking system for tracking the position of a vehicle within a lane includes a camera configured to provide a video feed representative of a field of view and a video processor configured to receive the video feed from the camera and to generate latent video-based position data indicative of the position of the vehicle within the lane. The system further includes a vehicle motion sensor configured to generate vehicle motion data indicative of the motion of the vehicle, and a lane tracking processor. The lane tracking processor is configured to receive the video-based position data, updated at a first frequency; receive the sensed vehicle motion data, updated at a second frequency; estimate the position of the vehicle within the lane from the sensed vehicle motion data; and fuse the video-based position data with the estimate of the vehicle position within the lane using a Kalman filter.


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