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:
Feb. 18, 2025

Filed:

Aug. 25, 2022
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Kun-Hsin Chen, Mountain View, CA (US);

Shunsho Kaku, Mountain View, CA (US);

Jeffrey M. Walls, Ann Arbor, MI (US);

Jie Li, Los Altos, CA (US);

Steven A. Parkison, Ann Arbor, MI (US);

Assignees:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); G01C 21/00 (2006.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); B60W 10/18 (2013.01); B60W 10/20 (2013.01); G01C 21/3819 (2020.08); G01C 21/3841 (2020.08); B60W 2420/403 (2013.01); B60W 2552/53 (2020.02); B60W 2556/10 (2020.02); B60W 2556/40 (2020.02); B60W 2710/18 (2013.01); B60W 2710/20 (2013.01); B60W 2720/106 (2013.01);
Abstract

Systems and methods for detecting roadway lane boundaries are disclosed herein. One embodiment receives image data of a portion of a roadway; receives historical vehicle trajectory data for the portion of the roadway; generates, from the historical vehicle trajectory data, a heatmap indicating, for a given pixel in the heatmap, an extent to which the given pixel coincides spatially with vehicle trajectories in the historical vehicle trajectory data; and projects the heatmap onto the image data to generate a composite image that is used in training a neural network to detect roadway lane boundaries, the projected heatmap acting as supervisory data. The trained neural network is deployed in a vehicle to generate and save map data including detected roadway lane boundaries for use by other vehicles or to control operation of the vehicle itself based, at least in part, on roadway lane boundaries detected by the trained neural network.


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