公开(公告)号：US20240085914A1

公开(公告)日：2024-03-14

申请号：US17942551

申请日：2022-09-12

Applicant: NVIDIA Corporation

Inventor： Sever Ioan Topan ,  Karen Yan Ming Leung ,  Yuxiao Chen ,  Pritish Tupekar ,  Edward Fu Schmerling ,  Hans Jonas Nilsson ,  Michael Cox ,  Marco Pavone

IPC: G05D1/02 ,  G06V20/58

CPC classification number: G05D1/0214 ,  G05D1/0253 ,  G06V20/58 ,  G06V2201/07

Abstract: In various examples, techniques for determining perception zones for object detection are described. For instance, a system may use a dynamic model associated with an ego-machine, a dynamic model associated with an object, and one or more possible interactions between the ego-machine and the object to determine a perception zone. The system may then perform one or more processes using the perception zone. For instance, if the system is validating a perception system of the ego-machine, the system may determine whether a detection error associated with the object is a safety-critical error based on whether the object is located within the perception zone. Additionally, if the system is executing within the ego-machine, the system may determine whether the object is a safety-critical object based on whether the object is located within the perception zone.

公开(公告)号：US20240010196A1

公开(公告)日：2024-01-11

申请号：US18183566

申请日：2023-03-14

Applicant: NVIDIA Corporation

Inventor： Karen Yan Ming Leung ,  Sushant Veer ,  Edward Fu Schmerling ,  Marco Pavone

IPC: B60W30/095 ,  B60W60/00 ,  B60W30/09

CPC classification number: B60W30/0956 ,  B60W60/0015 ,  B60W30/09 ,  B60W2554/4041

Abstract: In various examples, control policies for controlling agents may be learned from demonstrations capturing joint states of entities navigating through the environment. A control policy may be learned mapping joint states to control actions, where the joint states are between agents, and the control actions are of at least one of the agents. The control policy may be learned to define the mappings as control invariant sets of the joint sates and the control actions. The control policy may be used to determine one or more functions that compute, based at least on a joint state between entities, output indicating a likelihood of collision between the entities operating in accordance with the control policy. Using the output, current and/or potential states of the environment may be evaluated to determine control operations for a machine, such as a vehicle.