公开(公告)号：US20220230026A1

公开(公告)日：2022-07-21

申请号：US17713782

申请日：2022-04-05

Applicant: Aurora Operations, Inc.

Inventor： Jean-Sebastien Valois ,  Thomas Pilarski ,  Daniel Munoz

IPC: G06K9/62 ,  G06N3/08 ,  B60W60/00 ,  G05D1/00 ,  G06V20/56

Abstract: In techniques disclosed herein, machine learning models can be utilized in the control of autonomous vehicle(s), where the machine learning models are trained using automatically generated training instances. In some such implementations, a label corresponding to an object in a labeled instance of training data can be mapped to the corresponding instance of unlabeled training data. For example, an instance of sensor data can be captured using one or more sensors of a first sensor suite of a first vehicle can be labeled. The label(s) can be mapped to an instance of data captured using one or more sensors of a second sensor suite of a second vehicle.

公开(公告)号：US20220308580A1

公开(公告)日：2022-09-29

申请号：US17832359

申请日：2022-06-03

Applicant: Aurora Operations, Inc.

Inventor： Ethan Eade ,  Nathaniel Gist, IV ,  Thomas Pilarski

IPC: G05D1/00 ,  G05D1/02

Abstract: An autonomous vehicle uses a secondary vehicle control system to supplement a primary vehicle control system to perform a controlled stop if an adverse event is detected in the primary vehicle control system. The secondary vehicle control system may use a redundant lateral velocity determined by a different sensor from that used by the primary vehicle control system to determine lateral velocity for use in controlling the autonomous vehicle to perform the controlled stop.

公开(公告)号：US20250165790A1

公开(公告)日：2025-05-22

申请号：US19031860

申请日：2025-01-18

Applicant: Aurora Operations, Inc.

Inventor： Jean-Sebastien Valois ,  Thomas Pilarski ,  Daniel Munoz

IPC: G06N3/084 ,  B60W60/00 ,  G06F18/214 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56

Abstract: In techniques disclosed herein, machine learning models can be utilized in the control of autonomous vehicle(s), where the machine learning models are trained using automatically generated training instances. In some such implementations, a label corresponding to an object in a labeled instance of training data can be mapped to the corresponding instance of unlabeled training data. For example, an instance of sensor data can be captured using one or more sensors of a first sensor suite of a first vehicle can be labeled. The label(s) can be mapped to an instance of data captured using one or more sensors of a second sensor suite of a second vehicle.

公开(公告)号：US11874660B2

公开(公告)日：2024-01-16

申请号：US17832359

申请日：2022-06-03

Applicant: Aurora Operations, Inc.

Inventor： Ethan Eade ,  Nathaniel Gist, IV ,  Thomas Pilarski

IPC: B60G17/016 ,  G05D1/00 ,  G05D1/02

CPC classification number: G05D1/0077 ,  G05D1/0088 ,  G05D1/0246 ,  G05D1/0257

Abstract: An autonomous vehicle uses a secondary vehicle control system to supplement a primary vehicle control system to perform a controlled stop if an adverse event is detected in the primary vehicle control system. The secondary vehicle control system may use a redundant lateral velocity determined by a different sensor from that used by the primary vehicle control system to determine lateral velocity for use in controlling the autonomous vehicle to perform the controlled stop.