-
公开(公告)号：US20220371613A1
公开(公告)日：2022-11-24
申请号：US17327350
申请日：2021-05-21
Applicant: Zoox, Inc.
Inventor： Timothy Caldwell , Janek Hudecek , Vincent Andreas Laurense , Jack Riley
Abstract: Techniques for determining vehicle trajectories to operate a vehicle according to a planned path are described herein. In an example, a vehicle computing system may determine a location of the vehicle at a first time. Based on the location, the vehicle computing system may determine an estimated location of the vehicle at a second time, the estimated location of the vehicle including a lateral coordinate and a longitudinal coordinate. The vehicle computing system may determine the longitudinal coordinate based on a vehicle trajectory associated with the first time (e.g., previously determined trajectory) and the lateral coordinate based on the planned path. The vehicle computing system may determine a second vehicle trajectory based in part on the estimated location and the first trajectory, and may control the vehicle according to the second vehicle trajectory.
-
公开(公告)号：US12252200B2
公开(公告)日：2025-03-18
申请号：US17957756
申请日：2022-09-30
Applicant: Zoox, Inc.
Inventor： Joseph Funke , Liam Gallagher , Marin Kobilarov , Vincent Andreas Laurense , Mark Jonathon McClelland , Sriram Narayanan , Kazuhide Okamoto , Jack Riley , Jeremy Schwartz , Jacob Patrick Thalman , Olivier Amaury Toupet , David Evan Zlotnik
Abstract: Systems and techniques for determining a sideslip vector for a vehicle that may have a direction that is different from that of a heading vector for the vehicle. The sideslip vector in a current vehicle state and sideslip vectors in predicted vehicles states may be used to determine paths for a vehicle through an environment and trajectories for controlling the vehicle through the environment. The sideslip vector may be based on a vehicle position that is the center point of the wheelbase of the vehicle and may include lateral velocity, facilitating the control of four-wheel steered vehicle while maintaining the ability to control two-wheel steered vehicles.
-
公开(公告)号：US20240351605A1
公开(公告)日：2024-10-24
申请号：US18138359
申请日：2023-04-24
Applicant: Zoox, Inc.
Inventor： Timothy Caldwell , Rasmus Fonseca , Dhanushka Nirmevan Kularatne , Joseph Lorenzetti , Latheepan Murugathasan , Jack Riley , Mazen Alim Siddiqui , Olivier Amaury Toupet
CPC classification number: B60W60/001 , B60W30/09 , B60W40/02 , B60W2520/00 , B60W2554/80
Abstract: Techniques for enabling a vehicle to navigate around a blocking object, such as double-parked vehicle (“DPV”), are discussed herein. In some examples, a vehicle may receive sensor data representative of an environment. The vehicle may analyze such sensor data to determine that a DPV is located proximate the vehicle. When determining whether to follow the trajectory, the vehicle may determine one or more cost values corresponding to the trajectory. Further, the vehicle may receive weighted heatmap(s) that cover the region proximate the DPV. The vehicle may modify some or all cost values of the trajectory based on the weighted values of the heatmap(s). In some examples, the vehicle may follow the trajectory based at least in part on the cost values.
-
公开(公告)号：US11841708B2
公开(公告)日：2023-12-12
申请号：US16805118
申请日：2020-02-28
Applicant: Zoox, Inc.
Inventor： Janek Hudecek , Marin Kobilarov , Jack Riley
CPC classification number: G05D1/0217 , B60W60/001 , G05D1/0088 , B60W2520/10 , B60W2520/105
Abstract: Techniques for compensating for errors in position of a vehicle are discussed herein. In some cases, a discrepancy may exist between a measured state of the vehicle and a desired state as determined by a system of the vehicle. Techniques and methods for a planning architecture of an autonomous vehicle that is able to provide maintain a smooth trajectory as the vehicle follows a planned path or route. In some cases, a planning architecture of the autonomous vehicle may compensate for differences between an estimated state and a planned path without the use of a separate system. In this example process, the planning architecture may include a mission planning system, a decision system, and a tracking system that together output a trajectory for a drive system.
-
公开(公告)号：US20220161822A1
公开(公告)日：2022-05-26
申请号：US17247048
申请日：2020-11-25
Applicant: Zoox, Inc.
Inventor： Rasmus Fonseca , Marin Kobilarov , Mark Jonathon McClelland , Jack Riley
Abstract: Techniques for representing sensor data and predicted behavior of various objects in an environment are described herein. For example, an autonomous vehicle can represent prediction probabilities as an uncertainty model that may be used to detect potential collisions, define a safe operational zone or drivable area, and to make operational decisions in a computationally efficient manner. The uncertainty model may represent a probability that regions within the environment are occupied using a heat map type approach in which various intensities of the heat map represent a likelihood of a corresponding physical region being occupied at a given point in time.
-
Patent Agency Ranking
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.
-
公开(公告)号：US20240109585A1
公开(公告)日：2024-04-04
申请号：US17957756
申请日：2022-09-30
Applicant: Zoox, Inc.
Inventor： Joseph Funke , Liam Gallagher , Marin Kobilarov , Vincent Andreas Laurense , Mark Jonathon McClelland , Sriram Narayanan , Kazuhide Okamoto , Jack Riley , Jeremy Schwartz , Jacob Patrick Thalman , Olivier Amaury Toupet , David Evan Zlotnik
IPC: B62D7/15
CPC classification number: B62D7/159
Abstract: Systems and techniques for determining a sideslip vector for a vehicle that may have a direction that is different from that of a heading vector for the vehicle. The sideslip vector in a current vehicle state and sideslip vectors in predicted vehicles states may be used to determine paths for a vehicle through an environment and trajectories for controlling the vehicle through the environment. The sideslip vector may be based on a vehicle position that is the center point of the wheelbase of the vehicle and may include lateral velocity, facilitating the control of four-wheel steered vehicle while maintaining the ability to control two-wheel steered vehicles.
-
公开(公告)号：US20220163966A1
公开(公告)日：2022-05-26
申请号：US17247047
申请日：2020-11-25
Applicant: Zoox, Inc.
Inventor： Rasmus Fonseca , Marin Kobilarov , Mark Jonathon McClelland , Jack Riley
Abstract: Techniques for representing sensor data and predicted behavior of various objects in an environment are described herein. For example, an autonomous vehicle can represent prediction probabilities as an uncertainty model that may be used to detect potential collisions, define a safe operational zone or drivable area, and to make operational decisions in a computationally efficient manner. The uncertainty model may represent a probability that regions within the environment are occupied using a heat map type approach in which various intensities of the heat map represent a likelihood of a corresponding physical region being occupied at a given point in time.
-
公开(公告)号：US20250108835A1
公开(公告)日：2025-04-03
申请号：US18375033
申请日：2023-09-29
Applicant: Zoox, Inc.
Inventor： Parthasarathi Ainampudi , Jack Riley , Olivier Amaury Toupet
Abstract: Techniques for generating lane ending costs for determining costs for vehicle positions in an environment are described herein. A planning component within a vehicle may determine, a lane ending of a lane of a route, the lane ending indicative of whether a vehicle is able to continue along the lane to a desired endpoint of the route. The planning component may determine, based at least in part on the lane ending, a lane ending cost and determine a cost for a candidate trajectory based at least in part on the lane ending cost. The planning component may then determine a control trajectory for an autonomous vehicle, based at least in part on the cost for the candidate trajectory.
-
公开(公告)号：US12189387B2
公开(公告)日：2025-01-07
申请号：US17247047
申请日：2020-11-25
Applicant: Zoox, Inc.
Inventor： Rasmus Fonseca , Marin Kobilarov , Mark Jonathon McClelland , Jack Riley
Abstract: Techniques for representing sensor data and predicted behavior of various objects in an environment are described herein. For example, an autonomous vehicle can represent prediction probabilities as an uncertainty model that may be used to detect potential collisions, define a safe operational zone or drivable area, and to make operational decisions in a computationally efficient manner. The uncertainty model may represent a probability that regions within the environment are occupied using a heat map type approach in which various intensities of the heat map represent a likelihood of a corresponding physical region being occupied at a given point in time.
-
-
-
-
-
-
-
-
-
Search Results
12
records
(took 0.016 seconds)
