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公开(公告)号：US12269464B2
公开(公告)日：2025-04-08
申请号：US18087681
申请日：2022-12-22
Applicant: Zoox, Inc.
Inventor： Steven Cheng Qian , Zheyuan Xie
Abstract: Techniques for determining a parking trajectory for an autonomous vehicle. In some examples, a vehicle may navigate to a destination within an environment. The vehicle may receive parking locations proximate the destination, and determine a cost for navigating to each parking location, or multiple locations within a parking space. Each of multiple trajectories may include desired state(s) that represent the desired state information of the vehicle at a specific locations along the trajectory. The vehicle may determine a cost for the trajectory by comparing the predicted pose of the vehicle at the parking state to the target pose of the parking location. The vehicle may follow the trajectory based on the cost.
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公开(公告)号：US12208819B1
公开(公告)日：2025-01-28
申请号：US17589528
申请日：2022-01-31
Applicant: Zoox, Inc.
Inventor： Joseph Funke , Steven Cheng Qian , Kazuhide Okamoto , Jacob Patrick Thalman , Sriram Narayanan , Yunpeng Pan
IPC: B60W60/00 , B60W30/09 , B60W30/095
Abstract: This disclosure describes techniques for autonomous vehicles to determine driving paths and associated trajectories through unstructured or off-route driving environments. When an object is detected within a driving environment, a vehicle may determine a cost-based side association for the object. Various costs may be used in different examples, including costs based on a cost plot and/or motion primitives that may vary for terminal and non-terminal desired destinations (or ending vehicle states). Using tree searches to determine estimated candidate costs, the autonomous vehicle may compare right-side and left-side driving path costs around the object to determine a side association for the object. Based on the side association, the autonomous vehicle may determine an updated planning corridor and/or a trajectory to control the vehicle from a current state to a desired ending vehicle state.
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公开(公告)号：US20230060435A1
公开(公告)日：2023-03-02
申请号：US17462963
申请日：2021-08-31
Applicant: Zoox, Inc.
Inventor： Joseph Funke , Ravi Gogna , Caili Li , Steven Cheng Qian , Jacob Patrick Thalman , Ruikun Yu
IPC: B60W60/00 , G05D1/00 , B60W50/14 , B60W30/095 , B60W40/12
Abstract: Techniques for providing remote assistance to a vehicle are discussed. The techniques include receiving, from a vehicle, an indication of an event and displaying, on a display and to a user, a portion of an environment including the vehicle. The techniques further determine a valid region in the portion of the environment associated with a location at which the vehicle is capable of navigating. The techniques also display, on the display a footprint of the vehicle, where the footprint is associated with a position and orientation. The techniques further include transmitting the position and orientation of the footprint to the vehicle, which causes the vehicle to traverse in the environment to the position and orientation.
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公开(公告)号：US20210197819A1
公开(公告)日：2021-07-01
申请号：US16732122
申请日：2019-12-31
Applicant: Zoox, Inc.
Inventor： Kazuhide Okamoto , Joseph Funke , Steven Cheng Qian
Abstract: Techniques for determining a location for a vehicle to join a route structure are discussed herein. A vehicle computing system may operate the vehicle off the route structure according to an inertial-based reference frame. The vehicle computing system may determine a lateral distance of the vehicle to a route of the route structure and an angular difference between a heading of the vehicle and a direction of travel associated with the route. The vehicle computing system may determine a location to rejoin the route based on the lateral distance and the angular difference. In some examples, the vehicle computing system may determine the location based on a sigmoid function. The vehicle computing system may determine a vehicle trajectory to the location and may control the vehicle to the route based on the vehicle trajectory and the inertial-based reference frame.
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公开(公告)号：US12291193B1
公开(公告)日：2025-05-06
申请号：US18113149
申请日：2023-02-23
Applicant: Zoox, Inc.
Inventor： Steven Cheng Qian , Zheyuan Xie
Abstract: Techniques for determining a parking trajectory for a vehicle are discussed herein. A parking management component may determine or receive a three-dimensional grid (“grid”), discretized based at least in part on a heading offset, a lateral offset, and/or a longitudinal offset between a first and second pose. A cell of the grid may include a cost associated indicating a minimum difference to the second pose when moving from the first as may be limited based on kinematic and/or dynamic constraints. When driving, a vehicle may determine a relative state of the vehicle to a desired location, use the relative state to access a cost from the grid, and determine whether to follow a trajectory based on the cost.
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Patent Agency Ranking
公开(公告)号：US12054150B2
公开(公告)日：2024-08-06
申请号：US16732122
申请日：2019-12-31
Applicant: Zoox, Inc.
Inventor： Kazuhide Okamoto , Joseph Funke , Steven Cheng Qian
CPC classification number: B60W30/18 , B60W30/06 , B60W40/04 , B60W60/0015 , B60W60/0027 , B60W2554/404
Abstract: Techniques for determining a location for a vehicle to join a route structure are discussed herein. A vehicle computing system may operate the vehicle off the route structure according to an inertial-based reference frame. The vehicle computing system may determine a lateral distance of the vehicle to a route of the route structure and an angular difference between a heading of the vehicle and a direction of travel associated with the route. The vehicle computing system may determine a location to rejoin the route based on the lateral distance and the angular difference. In some examples, the vehicle computing system may determine the location based on a sigmoid function. The vehicle computing system may determine a vehicle trajectory to the location and may control the vehicle to the route based on the vehicle trajectory and the inertial-based reference frame.
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公开(公告)号：US20240208486A1
公开(公告)日：2024-06-27
申请号：US18087681
申请日：2022-12-22
Applicant: Zoox, Inc.
Inventor： Steven Cheng Qian , Zheyuan Xie
CPC classification number: B60W30/06 , B60W50/0098 , B60W60/0011
Abstract: Techniques for determining a parking trajectory for an autonomous vehicle. In some examples, a vehicle may navigate to a destination within an environment. The vehicle may receive parking locations proximate the destination, and determine a cost for navigating to each parking location, or multiple locations within a parking space. Each of multiple trajectories may include desired state(s) that represent the desired state information of the vehicle at a specific locations along the trajectory. The vehicle may determine a cost for the trajectory by comparing the predicted pose of the vehicle at the parking state to the target pose of the parking location. The vehicle may follow the trajectory based on the cost.
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公开(公告)号：US11780464B2
公开(公告)日：2023-10-10
申请号：US17555004
申请日：2021-12-17
Applicant: Zoox, Inc.
Inventor： Joseph Funke , Steven Cheng Qian , Kazuhide Okamoto , Jacob Patrick Thalman , Sriram Narayanan , Liam Gallagher
CPC classification number: B60W60/0011 , B60W50/00 , B60W2050/006 , B60W2050/0026 , B60W2510/20 , B60W2520/06 , B60W2520/10 , B60W2520/12
Abstract: Techniques are described herein for generating trajectories for autonomous vehicles using velocity-based steering limits. A planning component of an autonomous vehicle can receive steering limits determined based on safety requirements and/or kinematic models of the vehicle. Discontinuous and discrete steering limit values may be converted into a continuous steering limit function for use during on-vehicle trajectory generation and/or optimization operations. When the vehicle is traversing a driving environment, the planning component may use steering limit functions to determine a set of situation-specific steering limits associated with the particular vehicle state and/or driving conditions. The planning component may execute loss functions, including steering angle and/or steering rate costs, to determine a vehicle trajectory based on the steering limits applicable to the current vehicle state.
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公开(公告)号：US20250115277A1
公开(公告)日：2025-04-10
申请号：US18983755
申请日：2024-12-17
Applicant: Zoox, Inc.
Inventor： Joseph Funke , Steven Cheng Qian , Kazuhide Okamoto , Jacob Patrick Thalman , Sriram Narayanan , Yunpeng Pan
Abstract: This disclosure describes techniques for autonomous vehicles to determine driving paths and associated trajectories through unstructured or off-route driving environments. When an object is detected within a driving environment, a vehicle may determine a cost-based side association for the object. Various costs may be used in different examples, including costs based on a cost plot and/or motion primitives that may vary for terminal and non-terminal desired destinations (or ending vehicle states). Using tree searches to determine estimated candidate costs, the autonomous vehicle may compare right-side and left-side driving path costs around the object to determine a side association for the object. Based on the side association, the autonomous vehicle may determine an updated planning corridor and/or a trajectory to control the vehicle from a current state to a desired ending vehicle state.
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公开(公告)号：US12269508B1
公开(公告)日：2025-04-08
申请号：US18087709
申请日：2022-12-22
Applicant: Zoox, Inc.
Inventor： Joseph Funke , Steven Cheng Qian , Zheyuan Xie
Abstract: Techniques for determining parking spaces and/or parking trajectories for a vehicle based on multistage filtering are discussed herein. In some examples, a vehicle may navigate to a destination within an environment. The vehicle may receive a set of parking locations and perform filtering operations to determine a subset of the parking locations. For example, the vehicle may use a list of parking characteristics (e.g., conditions) to filter the set of parking spaces. Based on determining the subset of parking spaces, the vehicle may generate a set of candidate trajectories to the subset of parking spaces. The vehicle may determine a subset of the candidate trajectories based on filtering the set of candidate trajectories according to various constraints. Further, the vehicle may determine a cost for the subset of candidate trajectories. Based on the costs, the vehicle may determine a candidate trajectory for the vehicle to follow.
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