公开(公告)号：US20230112050A1

公开(公告)日：2023-04-13

申请号：US17450750

申请日：2021-10-13

Applicant: Zoox, Inc.

Inventor： Jacob Lee Askeland ,  Rasoul Kabirzadeh ,  Yangwei Liu ,  Shao-Han Tang

IPC: B60W60/00 ,  G06F7/58 ,  G07C5/08 ,  B60W50/00

Abstract: Techniques associated with detecting non-deterministic behavior with a component and/or subcomponents of an autonomous vehicle are discussed herein. In some cases, a simulation system may be configured to simulate operations of the autonomous vehicle and to detect changes in behavior between instances and with respect to log data or expected results. The simulation system may flag or otherwise identify components and/or subcomponents responsive to detecting potentially non-deterministic behavior.

公开(公告)号：US12024192B2

公开(公告)日：2024-07-02

申请号：US17450750

申请日：2021-10-13

Applicant: Zoox, Inc.

Inventor： Jacob Lee Askeland ,  Rasoul Kabirzadeh ,  Yangwei Liu ,  Shao-Han Tang

IPC: B60W60/00 ,  B60W50/00 ,  G06F7/58 ,  G07C5/08

CPC classification number: B60W60/001 ,  B60W50/0098 ,  G06F7/588 ,  G07C5/085 ,  B60W2050/0083

Abstract: Techniques associated with detecting non-deterministic behavior with a component and/or subcomponents of an autonomous vehicle are discussed herein. In some cases, a simulation system may be configured to simulate operations of the autonomous vehicle and to detect changes in behavior between instances and with respect to log data or expected results. The simulation system may flag or otherwise identify components and/or subcomponents responsive to detecting potentially non-deterministic behavior.

公开(公告)号：US20250042429A1

公开(公告)日：2025-02-06

申请号：US18228426

申请日：2023-07-31

Applicant: Zoox, Inc.

Inventor： Akash Arora ,  Andrew Baker ,  Timothy Caldwell ,  Eunsuk Chong ,  Rasmus Fonseca ,  Ravi Gogna ,  Jeffrey Loris Irion ,  Dhanushka Nirmevan Kularatne ,  Yangwei Liu ,  Joseph Lorenzetti ,  Mark Jonathon McClelland ,  Jack Riley ,  Rick Zhang

IPC: B60W60/00

Abstract: Techniques for generating a driving surface cost landscape for determining costs for vehicle positions in an environment are described herein. A planning component within a vehicle may determine a non-preferred surface associated with a type of non-preferred area of an environment along a route of a vehicle, determine a preferred surface associated with a preferred area of the environment, determine an adjusted non-preferred surface by removing an overlapping area of the non-preferred surface that overlaps the preferred surface and determine a cost associated with a vehicle position based at least on the preferred surface and the adjusted non-preferred surface. The planning component may then determine a control trajectory for the autonomous vehicle based at least in part on the cost associated with the vehicle position.