公开(公告)号：US20210124353A1

公开(公告)日：2021-04-29

申请号：US17140738

申请日：2021-01-04

Applicant: Nvidia Corporation

Inventor： Bill Dally ,  Stephen Tyree ,  Iuri Frosio ,  Alejandro Troccoli

IPC: G05D1/00 ,  G05D1/02 ,  G06N3/08

Abstract: Sensors measure information about actors or other objects near an object, such as a vehicle or robot, to be maneuvered. Sensor data is used to determine a sequence of possible actions for the maneuverable object to achieve a determined goal. For each possible action to be considered, one or more probable reactions of the nearby actors or objects are determined. This can take the form of a decision tree in some embodiments, with alternative levels of nodes corresponding to possible actions of the present object and probable reactive actions of one or more other vehicles or actors. Machine learning can be used to determine the probabilities, as well as to project out the options along the paths of the decision tree including the sequences. A value function is used to generate a value for each considered sequence, or path, and a path having a highest value is selected for use in determining how to navigate the object.

公开(公告)号：US20200249674A1

公开(公告)日：2020-08-06

申请号：US16268188

申请日：2019-02-05

Applicant: Nvidia Corporation

Inventor： Bill Dally ,  Stephen Tyree ,  Iuri Frosio ,  Alejandro Troccoli

IPC: G05D1/00 ,  G06N3/08 ,  G05D1/02

Abstract: Sensors measure information about actors or other objects near an object, such as a vehicle or robot, to be maneuvered. Sensor data is used to determine a sequence of possible actions for the maneuverable object to achieve a determined goal. For each possible action to be considered, one or more probable reactions of the nearby actors or objects are determined. This can take the form of a decision tree in some embodiments, with alternative levels of nodes corresponding to possible actions of the present object and probable reactive actions of one or more other vehicles or actors. Machine learning can be used to determine the probabilities, as well as to project out the options along the paths of the decision tree including the sequences. A value function is used to generate a value for each considered sequence, or path, and a path having a highest value is selected for use in determining how to navigate the object.