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公开(公告)号：US20240278804A1
公开(公告)日：2024-08-22
申请号：US18654502
申请日：2024-05-03
Applicant: May Mobility, Inc.
Inventor： Collin Johnson , Yash Bagla , Kapil Borle , Akshay Katpatal , Mahmood Mahmood , Edwin B. Olson
CPC classification number: B60W60/0011 , B60W40/04 , B60W50/0097 , B60W2050/0028 , B60W60/005 , B60W60/0055 , B60W2554/80
Abstract: A system for impact-based operation of an autonomous agent (equivalently referred to herein as an ego agent and autonomous vehicle) includes and/or interfaces with a computing subsystem (equivalently referred to herein as a computer and/or set of computers). A method for impact-based operation of an autonomous agent includes: receiving a set of inputs; predicting a set of future scenarios; and determining a set of metrics based on the set of future scenarios. Additionally or alternatively, the method can include operating the autonomous agent based on the set of metrics and/or any other processes.
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公开(公告)号：US11958489B2
公开(公告)日：2024-04-16
申请号：US17203486
申请日：2021-03-16
Applicant: KAWASAKI MOTORS, LTD.
Inventor： Takenori Terada
CPC classification number: B60W40/13 , B60W50/00 , B60W2040/133 , B60W2040/1338 , B60W2050/0028 , B60W2050/0056 , B60W2520/105 , B60W2520/125 , B60W2520/16 , B60W2520/18
Abstract: A tire force estimator includes a measuring unit configured to measure an acceleration of a vehicle body of a four-wheeled vehicle in a horizontal direction and an acceleration of at least one of four wheels of the four-wheeled vehicle in a vertical direction; and a processing unit configured to estimate a tire force acting on the at least one wheel from a ground surface in the vertical direction based on the acceleration of the vehicle body in the horizontal direction and the acceleration of the at least one wheel in the vertical direction.
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公开(公告)号：US11906625B2
公开(公告)日：2024-02-20
申请号：US16960290
申请日：2019-01-08
Applicant: The Regents of the University of California
Inventor： Akshay Rangesh , Mohan M. Trivedi , Nachiket Deo
IPC: G01S17/89 , G06T7/292 , G06T7/246 , G06T7/70 , G01S17/931 , G01S17/86 , B60W30/095 , G01S17/66 , G06F18/24 , G06F18/25 , B60W50/00
CPC classification number: G01S17/89 , B60W30/0956 , G01S17/66 , G01S17/86 , G01S17/931 , G06F18/24 , G06F18/251 , G06T7/251 , G06T7/292 , G06T7/70 , B60W50/0097 , B60W2050/0028 , B60W2420/42 , B60W2420/52 , B60W2554/404 , B60W2556/35 , G06T2207/10016 , G06T2207/10028 , G06T2207/20076 , G06T2207/30241 , G06T2207/30252
Abstract: A surround multi-object tracking and surround vehicle motion prediction framework is provided. A full-surround camera array and LiDAR sensor based approach provides for multi-object tracking for autonomous vehicles. The multi-object tracking incorporates a fusion scheme to handle object proposals from the different sensors within the calibrated camera array. A motion prediction framework leverages the instantaneous motion of vehicles, an understanding of motion patterns of freeway traffic, and the effect of inter-vehicle interactions. The motion prediction framework incorporates probabilistic modeling of surround vehicle trajectories. Additionally, subcategorizing trajectories based on maneuver classes leads to better modeling of motion patterns. A model takes into account interactions between surround vehicles for simultaneously predicting each of their motion.
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公开(公告)号：US20240017747A1
公开(公告)日：2024-01-18
申请号：US18251721
申请日：2021-11-04
Applicant: dSPACE GmbH
Inventor： Daniel Hasenklever , Simon Funke , Philipp Kessler , Dominik Doerr
IPC: B60W60/00 , B60W50/00 , B60W40/107 , G06V20/58 , G06V10/82
CPC classification number: B60W60/00274 , B60W50/0098 , B60W40/107 , G06V20/58 , G06V10/82 , B60W2050/0028 , B60W2420/42 , B60W2420/52 , B60W2554/20 , B60W2554/404 , B60W2520/105
Abstract: A method for generating a simulation scenario includes: receiving raw data, wherein the raw data comprises a plurality of successive LIDAR point clouds, a plurality of successive camera images, and successive velocity and/or acceleration data; merging the plurality of LIDAR point clouds from a determined region into a common coordinate system to produce a composite point cloud; locating and classifying one or more static objects within the composite point cloud; generating road information based on the composite point cloud, one or more static objects and at least one camera image; locating and classifying one or more dynamic road users within the plurality of successive LIDAR point clouds and generating trajectories for the one or more dynamic road users; creating a simulation scenario based on the one or more static objects, the road information, and the generated trajectories for the one or more dynamic road users; and exporting the simulation scenario.
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5.发明授权公开(公告)号：US11866065B2
公开(公告)日：2024-01-09
申请号：US17510957
申请日：2021-10-26
Inventor： Motoshi Anabuki , Yoshimasa Honda
IPC: B60W50/00 , H04L67/125 , B60W60/00 , G06V20/56
CPC classification number: B60W60/001 , B60W50/00 , G06V20/56 , H04L67/125 , B60W2050/0028
Abstract: An information processing method is to be executed by a computer. The information processing method includes: receiving, from an autonomous moving body, a first processing result that is a result of first preprocessing of travel control processing in autonomous movement processing of the autonomous moving body, and sensing data received by the autonomous moving body; executing second preprocessing based on the sensing data to receive a second processing result, the second preprocessing being more advanced than the first preprocessing; determining a difference between the first processing result and the second processing result; and outputting, to the autonomous moving body based on the difference determined, a change request to change the first processing result to the third processing result, the third processing result being received based on at least one of the first processing result or the second processing result.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240001947A1
公开(公告)日：2024-01-04
申请号：US17750209
申请日：2022-05-20
Applicant: Volvo Truck Corporation
IPC: B60W50/04 , G06N20/00 , B60R16/023
CPC classification number: B60W50/045 , B60W2050/0028 , B60R16/023 , G06N20/00
Abstract: A method of generating a soft sensor for a mechanical system includes defining a training dataset of sensor values received from at least one first sensor corresponding a first physical quantity. The method further includes training a Sparse Identification of Nonlinear Dynamics (SINDy) model using the training dataset to generate a mathematical function defining a relationship between the sensor values and soft sensor values corresponding to a second physical quantity. The method further includes embedding machine readable instructions based on the mathematical function into an embedded system of the mechanical system including at least one first sensor. The machine readable instructions, when executed by the embedded system, cause the embedded system to receive sensor values corresponding to the first physical quantity and generate soft sensor values based on the sensor values and the mathematical function.
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公开(公告)号：US11814070B1
公开(公告)日：2023-11-14
申请号：US17490503
申请日：2021-09-30
Applicant: Zoox, Inc.
Inventor： Antonio Prioletti , Subhasis Das , Minsu Jang , He Yi
CPC classification number: B60W60/001 , B60W50/00 , G05B17/02 , G07C5/008 , B60W2050/0028 , B60W2050/0083 , B60W2554/402 , B60W2554/4041 , B60W2554/4042 , B60W2554/4043 , B60W2554/4044 , B60W2554/801 , B60W2554/802 , B60W2555/20
Abstract: Techniques for determining error models for use in simulations are discussed herein. Ground truth perception data and vehicle perception data can be determined from vehicle log data. Further, objects in the log data can be identified as relevant objects by signals output by a planner system or based on the object being located in a driving corridor. Differences between the ground truth perception data and the vehicle perception data can be determined and used to generate error models for the relevant objects. The error models can be applied to objects during simulation to increase realism and test vehicle components.
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公开(公告)号：US20230303123A1
公开(公告)日：2023-09-28
申请号：US17655837
申请日：2022-03-22
Applicant: QUALCOMM Incorporated
Inventor： Ahmed Kamel SADEK , Pranav DESAI , Stephen Marc CHAVES , Paul Daniel MARTIN
CPC classification number: B60W60/0027 , B60W50/0097 , G05B13/027 , B60W2050/0028 , B60W2420/42 , B60W2552/05
Abstract: In some aspects, a device of a vehicle may obtain information relating to an environment in which the vehicle is located. The device may determine using a machine learning model, a driving context of the vehicle based at least in part on the information relating to the environment, and a set of hyperparameters for a model, that is used to determine a driving behavior for the vehicle, based at least in part on the driving context. The device may determine, using the model configured with the set of hyperparameters, the driving behavior for the vehicle. The device may cause autonomous operation of the vehicle in accordance with the driving behavior. Numerous other aspects are described.
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公开(公告)号：US11767036B1
公开(公告)日：2023-09-26
申请号：US17735823
申请日：2022-05-03
Applicant: PlusAI, Inc.
Inventor： Ankur Agarwal
IPC: B60W60/00 , B60R16/023 , B60W50/00 , G06N20/00
CPC classification number: B60W60/0015 , B60R16/0231 , G06N20/00 , B60W2050/0028 , B60W2300/125 , B60W2300/145 , B60W2420/42 , B60W2420/52 , B60W2720/10
Abstract: Sensor data indicating a substantially 360 degree surrounding of a vehicle is received via a processor included in the vehicle. The sensor data is collected using multiple sensors included in the vehicle. Additionally, an acceptable response time range for a driver of the vehicle to perform an action with the vehicle is obtained, via the processor, based on the sensor data. Additionally, an actual response time for the driver to perform the action is determined, via the processor, based on CAN data collected from a CAN bus included in the vehicle, and not based on the sensor data. Additionally, a determination is made, via the processor, that the actual response time is not within the acceptable response time range. Additionally, a remedial action is caused, via the processor, to be performed in response to the determining that the actual response time is not within the acceptable response time range.
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公开(公告)号：US11699282B1
公开(公告)日：2023-07-11
申请号：US17855623
申请日：2022-06-30
Applicant: PlusAI, Inc.
Inventor： Inderjot Singh Saggu , Anurag Paul , Mianwei Zhou
IPC: G06V10/774 , G06V20/58 , G06V20/56 , B60W60/00 , B60W50/00
CPC classification number: G06V10/774 , G06V20/582 , G06V20/584 , G06V20/588 , B60W50/0098 , B60W60/001 , B60W2050/0022 , B60W2050/0028 , B60W2420/42 , B60W2552/10 , B60W2552/53 , B60W2555/60
Abstract: This application is directed to augmenting training data used for vehicle driving modelling. A computer system obtains a first image of a road and identifies a drivable area of the road within the first image. The computer system obtains an image of an object and generates a second image from the first image by overlaying the image of the object over the drivable area. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving of a vehicle (e.g., at least partial autonomously). In some embodiments, the computer system applies machine learning to train a model using the corpus of training images and distributes the model to one or more vehicles. In use, the model processes road images captured by the one or more vehicles to facilitate vehicle driving.
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