公开(公告)号：US12214808B2

公开(公告)日：2025-02-04

申请号：US18178641

申请日：2023-03-06

Applicant: Aurora Operations, Inc.

Inventor： Abhishek Sen ,  Ashton James Fagg ,  Brian C. Becker ,  Yang Xu ,  Nathan Nicolas Pilbrough ,  Carlos Vallespi-Gonzalez

IPC: B60W60/00 ,  G01S7/48 ,  G01S17/58 ,  G01S17/66 ,  G01S17/931 ,  G05D1/00 ,  G06N20/00

Abstract: An autonomous vehicle computing system can include a primary perception system configured to receive a plurality of sensor data points as input generate primary perception data representing a plurality of classifiable objects and a plurality of paths representing tracked motion of the plurality of classifiable objects. The autonomous vehicle computing system can include a secondary perception system configured to receive the plurality of sensor data points as input, cluster a subset of the plurality of sensor data points of the sensor data to generate one or more sensor data point clusters representing one or more unclassifiable objects that are not classifiable by the primary perception system, and generate secondary path data representing tracked motion of the one or more unclassifiable objects. The autonomous vehicle computing system can generate fused perception data based on the primary perception data and the one or more unclassifiable objects.

公开(公告)号：US20240239377A1

公开(公告)日：2024-07-18

申请号：US18611175

申请日：2024-03-20

Applicant: Aurora Operations, Inc.

Inventor： Brian C. Becker ,  Michael Lee Phillips ,  Yang Xu ,  Eric Michael Perko ,  Narek Melik-Barkhudarov

IPC: B60W60/00 ,  B60W30/085 ,  G06V10/762 ,  G06V20/58 ,  G06V40/10 ,  G08G1/16

CPC classification number: B60W60/0018 ,  B60W30/085 ,  G06V10/762 ,  G06V20/58 ,  G06V40/10 ,  G08G1/166 ,  B60W2554/4029

Abstract: Systems and methods for controlling autonomous vehicle are provided. A method can include obtaining, by a computing system, data indicative of a plurality of objects in a surrounding environment of the autonomous vehicle. The method can further include determining, by the computing system, one or more clusters of the objects based at least in part on the data indicative of the plurality of objects. The method can further include determining, by the computing system, whether to enter an operation mode having one or more limited operational capabilities based at least in part on one or more properties of the one or more clusters. In response to determining that the operation mode is to be entered by the autonomous vehicle, the method can include controlling, by the computing system, the operation of the autonomous vehicle based at least in part on the one or more limited operational capabilities.