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:
Jul. 25, 2023

Filed:

Dec. 14, 2020
Applicant:

Honda Motor Co., Ltd., Tokyo, JP;

Inventors:

David Francis Isele, Sunnyvale, CA (US);

Kikuo Fujimura, Palo Alto, CA (US);

Sangjae Bae, Berkley, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G08G 1/16 (2006.01); G01C 21/34 (2006.01); B60W 30/09 (2012.01); B60W 50/00 (2006.01); B60W 10/20 (2006.01); B60W 30/18 (2012.01); B60W 30/095 (2012.01);
U.S. Cl.
CPC ...
B60W 60/0015 (2020.02); B60W 10/20 (2013.01); B60W 30/09 (2013.01); B60W 30/0956 (2013.01); B60W 30/18163 (2013.01); B60W 50/0097 (2013.01); B60W 60/0027 (2020.02); G01C 21/3453 (2013.01); G08G 1/166 (2013.01); G08G 1/167 (2013.01);
Abstract

According to one aspect, systems and techniques for lane selection may include receiving a current state of an ego vehicle and a traffic participant vehicle, and a goal position, projecting the ego vehicle and the traffic participant vehicle onto a graph network, where nodes of the graph network may be indicative of discretized space within an operating environment, determining a current node for the ego vehicle within the graph network, and determining a subsequent node for the ego vehicle based on identifying adjacent nodes which may be adjacent to the current node, calculating travel times associated with each of the adjacent nodes, calculating step costs associated with each of the adjacent nodes, calculating heuristic costs associated with each of the adjacent nodes, and predicting a position of the traffic participant vehicle.


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