US 12,277,859 B2
Cooperative operation of vehicles
Gandhi Sivakumar, Bentleigh (AU); Smitkumar Narotambhai Marvaniya, Bangalore (IN); Vijay Ekambaram, Chennai (IN); Padmanabha Venkatagiri Seshadri, Mysore (IN); and Ashok Pon Kumar Sree Prakash, Bangalore (IN)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Apr. 12, 2021, as Appl. No. 17/227,461.
Prior Publication US 2022/0327930 A1, Oct. 13, 2022
Int. Cl. G08G 1/0968 (2006.01); G06Q 20/36 (2012.01); G06Q 30/0208 (2023.01); G06T 19/00 (2011.01); G08G 1/0967 (2006.01)
CPC G08G 1/096833 (2013.01) [G06Q 20/3672 (2013.01); G06Q 30/0208 (2013.01); G08G 1/096716 (2013.01); G08G 1/096775 (2013.01); G06T 19/006 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A computer-implemented method for cooperative vehicle operation, the method comprising:
receiving, by a processor, a route request from a user for a first vehicle, which includes a goal of the user associated with the first vehicle;
receiving, by the processor, data associated with predicted routes and goals of one or more nearby vehicles;
performing, by the processor, a prediction of a likelihood of the one or more nearby vehicles implementing a driving change request based on a joint optimization artificial intelligence (AI) model configured to analyze recipient selection criteria that includes the route request and goal from the user, and the predicted routes and goals of the one or more nearby vehicles, safety of making the driving change, and past participation in cooperative vehicle operation;
selecting, by the processor, a recipient vehicle from the one or more nearby vehicles, wherein the recipient vehicle is selected based on the recipient selection criteria, and wherein the joint optimization AI model predicts which of the nearby vehicles are most likely to implement the driving change and minimize conflict between implementing the driving change and a goal of the recipient vehicle;
determining, by the processor, one or more driving change requests for the recipient vehicle, wherein the one or more driving change requests consider rules and safety, and goals associated with the recipient vehicle and accomplish the route request of the first vehicle; and
in response to the determined one or more driving change requests, displaying, by the processor, an augmented reality viewscreen in the recipient vehicle for prompting the driving change in the recipient vehicle, wherein the displaying comprises:
using current vehicle and traffic condition data, training a classifier AI model to predict an augmented reality view for the recipient vehicle, and
using the trained classifier AI model, generating augmented reality signs to be displayed on the augmented reality viewscreen for indicating the recipient vehicle to execute the one or more driving change requests; and
executing the one or more driving change requests by a self-driving vehicle control system to cause the recipient vehicle to change speed, change position, or change path.