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:
May. 20, 2025

Filed:

Aug. 31, 2022
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Saraswathi Sailaja Perumalla, Visakhapatnam, IN;

Sarbajit K. Rakshit, Kolkata, IN;

Mahesh Malatesh Chitragar, Bangalore, IN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G08G 1/0967 (2006.01); B60W 50/14 (2020.01); B60W 60/00 (2020.01); G06F 3/01 (2006.01);
U.S. Cl.
CPC ...
G08G 1/096716 (2013.01); B60W 50/14 (2013.01); B60W 60/0015 (2020.02); G06F 3/015 (2013.01); G08G 1/096783 (2013.01); B60W 2050/146 (2013.01); B60W 2554/4029 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4043 (2020.02); B60W 2554/4044 (2020.02); B60W 2554/4045 (2020.02); B60W 2556/45 (2020.02);
Abstract

Systems, methods and/or computer program products for improving autonomous vehicle operation by enabling communication between the autonomous vehicles and BCI systems publishing signals from nearby pedestrians. Wearable BCI devices worn by pedestrians analyze brainwave signals and classify the brainwave signals in order to filter out signals that are unrelated to crossing the street or the directionality of travel by the pedestrian. BCI devices publish, or broadcast brain wave signals related to crossing the street or directionality of travel to the surrounding area where autonomous vehicle receive and process the brainwave signals being published. The autonomous vehicles predict movements of nearby pedestrians based on the intended direction of travel signified by the collected brainwave signals, and the autonomous vehicles select driving actions in response to the anticipated movements of nearby pedestrians.


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