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.:
Date of Patent:
Apr. 22, 2014
Filed:
Jul. 30, 2012
Shuqing Zeng, Sterling Heights, MI (US);
Bakhtiar Brian Litkouhi, Washington, MI (US);
Xingping Chen, Warren, MI (US);
James N. Nickolaou, Clarkston, MI (US);
Daniel Gandhi, Auburndale, MA (US);
Joel Pazhayampallil, Ann Arbor, MI (US);
Shuqing Zeng, Sterling Heights, MI (US);
Bakhtiar Brian Litkouhi, Washington, MI (US);
Xingping Chen, Warren, MI (US);
James N. Nickolaou, Clarkston, MI (US);
Daniel Gandhi, Auburndale, MA (US);
Joel Pazhayampallil, Ann Arbor, MI (US);
GM Global Technology Operations LLC, Detroit, MI (US);
Abstract
A method for selecting an anchor lane for tracking in a vehicle lane tracking system. Digital map data and leading vehicle trajectory data are used to predict lane information ahead of a vehicle. Left and right lane boundary markers are also detected, where available, using a vision system. The lane marker data from the vision system is combined with the lane information from the digital map data and the leading vehicle trajectory data in a lane curvature fusion calculation. The left and right lane marker data from the vision system are also evaluated for conditions such as parallelism and sudden jumps in offsets, while considering the presence of entrance or exit lanes as indicated by the map data. An anchor lane for tracking is selected based on the evaluation of the vision system data, using either the fused curvature calculation or the digital map and leading vehicle trajectory data.