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公开(公告)号：US20250050891A1
公开(公告)日：2025-02-13
申请号：US18507380
申请日：2023-11-13
Applicant: HYUNDAI MOTOR COMPANY , KIA CORPORATION
Inventor： Eun Ji Jun , Byeong Wook Jeon , Won Seok Jeon , Ki Sang Kim
IPC: B60W40/105 , B60W40/06 , B60W50/00 , G01S13/08 , G06N3/0464
Abstract: An apparatus for predicting a speed of a vehicle includes storage that stores a transformer model which completes learning, and a controller that predicts the speed of the vehicle based on the transformer model. The controller may extract feature information about a state of the vehicle from past driving information of the vehicle to input the feature information to an encoder of the transformer model, and extract feature information about the state of the vehicle from future driving information of the vehicle to input the feature information to a decoder of the transformer model.
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公开(公告)号：US20250042371A1
公开(公告)日：2025-02-06
申请号：US18720027
申请日：2022-12-13
Inventor： ANTOINE PATURLE , JEREMY VAYSSETTES , FRANCOIS PINET , ANNIE DUPARQUE , MICKAEL LEFEBVRE , DAMIEN MARTIN , VINCENT TOMIS , OLIVIER SCHEURER , CAROLINA UGARTE
Abstract: A method for determining the moisture of a ground on which a tire mounted on a vehicle is running, the tire being fitted with a sensor configured to acquire a measurement signal representative of the change in the curvature of the tire as it runs over a ground, comprises the following steps: acquiring a measurement signal representative of the change in the curvature of the tire while it is running; determining measurement data comprising (a) a first parameter (KSin) representative of a rate at which the tire flattens on contact with the ground, and (b) a second parameter (KSout) representative of a rate at which the tire regains its shape on becoming separated from the ground; and determining the moisture of the ground as a function of the first parameter (KSin) and the second parameter (KSout).
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公开(公告)号：US12214791B2
公开(公告)日：2025-02-04
申请号：US17826148
申请日：2022-05-26
Applicant: ZHEJIANG UNIVERSITY
Inventor： Chaofeng Lv , Yinnan Zhang , He Zhang
Abstract: Disclosed is a method for monitoring vehicle overload based on gravity anomaly, which includes the following steps of: setting a plurality of measuring positions on a single lane, arranging a gravimeter to acquire gravity anomaly values caused by a vehicle when the middle position along the length direction of the vehicle reaching each measuring position, using a monitoring camera to judge the category of the vehicle, acquire three geometric dimensions of the vehicle, and determine the position of the vehicle. The vehicle is simplified as a cuboid, and the mass density distribution is simplified as a piecewise constant function along the length direction of the vehicle. Calculating values of the piecewise constant function according to the gravity anomaly values, calculating a total weight of the vehicle according to the mass density distribution, comparing the total weight with the weight limit of the vehicle to judge whether the vehicle is overloaded.
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公开(公告)号：US20250033645A1
公开(公告)日：2025-01-30
申请号：US18524601
申请日：2023-11-30
Applicant: HYUNDAI MOTOR COMPANY , KIA CORPORATION , IUCF-HYU (Industry-University Cooperation Foundation Hanyang University)
Inventor： Jun Han Kang , Ik Jin Um , Ji Hun Byun , Man Dong Kim , Jung Ho Park , Jin Soo Seo , Chan Uk Yang , Seung Won Choi , Hyuk Ju Shon , Kun Soo Huh
Abstract: An off-road travel assistive device includes a receiver configured to receive travel data of a vehicle, and an estimator. The estimator includes a road surface severity estimator configured to estimate road surface severity data based on the travel data of the vehicle. The device also includes a stuck probability determiner configured to determine probability of a stuck state of the vehicle occurring using the travel data and the road surface severity data. The stuck probability determiner determines stuck probability using a meta-model.
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公开(公告)号：US20250022257A1
公开(公告)日：2025-01-16
申请号：US18687024
申请日：2022-09-07
Applicant: 42DOT INC.
Inventor： Seong Gyun JEONG , Hee Yeon KWON , Seok Woo JUNG
IPC: G06V10/774 , B60W40/06 , G06V10/762 , G06V10/776 , G06V10/82 , G06V20/56
Abstract: The present disclosure relates to a method and device for generating a lane polyline by using a neural network model.
The method according to an embodiment of the present disclosure may include generating a bird's-eye-view feature based on a base image obtained from at least one sensor mounted on a vehicle, and training a neural network model by using the bird's-eye-view feature as input data for the neural network model and using a lane polyline for a certain road as output data. In the present disclosure, a lane polyline obtained from the above-described neural network model may be used for controlling the vehicle without performing a separate process on the lane polyline.
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公开(公告)号：US20250018963A1
公开(公告)日：2025-01-16
申请号：US18743841
申请日：2024-06-14
Applicant: Granite Vehicle Ventures LLC
Inventor： Michael S. Gordon , James R. Kozloski , Ashish Kundu , Peter K. Malkin , Clifford A. Pickover
IPC: B60W50/12 , B60W40/06 , B60W40/08 , B60W40/10 , B60W50/00 , B60W60/00 , B62D1/28 , B62D6/00 , G05D1/81
Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.
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公开(公告)号：US12195049B2
公开(公告)日：2025-01-14
申请号：US18068558
申请日：2022-12-20
Applicant: FORD GLOBAL TECHNOLOGIES, LLC
Inventor： Pietro Blandizzi , Randall Schur , Constantin Savtchenko
Abstract: This document discloses system, method, and computer program product embodiments for operating a robot. For example, the method includes: detecting an object in proximity to the robot; generating a path of travel for the object that is defined by a plurality of first data points representing different object locations in an area; generating cost curves respectively associated with the plurality of first data points; generating a polyline comprising a plurality of second data points associated with displacements of the cost curves from a particular location in the area; defining a predicted path of travel for the object based on the polyline; and using the predicted path of travel for the object to facilitate at least one autonomous operation of the robot.
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公开(公告)号：US12190721B2
公开(公告)日：2025-01-07
申请号：US17169197
申请日：2021-02-05
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Hang Zhang
Abstract: Methods and System for enhanced navigation and traffic management are provided. A controller obtains input indicative of conditions on a physical road, traffic status information associated with the physical road and requirements of a mobile device. Based at least in part on the input, one or more virtual lanes defining respective routes along the physical road are determined. The virtual lanes are communicated to mobile devices which follow them in place of painted lanes. The virtual lanes can be dynamically updated for example to avoid obstacles. Different lanes can correspond to different priorities of traffic.
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9.发明授权
公开(公告)号：US12190448B2
公开(公告)日：2025-01-07
申请号：US17452749
申请日：2021-10-28
Applicant: NVIDIA Corporation
Inventor： Kang Wang , Yue Wu , Minwoo Park , Gang Pan
IPC: G06T17/20 , B60W30/14 , B60W40/06 , B60W50/06 , B60W60/00 , G06F18/214 , G06F18/24 , G06N3/08 , G06T7/11 , G06T7/40
Abstract: In various examples, to support training a deep neural network (DNN) to predict a dense representation of a 3D surface structure of interest, a training dataset is generated using a simulated environment. For example, a simulation may be run to simulate a virtual world or environment, render frames of virtual sensor data (e.g., images), and generate corresponding depth maps and segmentation masks (identifying a component of the simulated environment such as a road). To generate input training data, 3D structure estimation may be performed on a rendered frame to generate a representation of a 3D surface structure of the road. To generate corresponding ground truth training data, a corresponding depth map and segmentation mask may be used to generate a dense representation of the 3D surface structure.
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公开(公告)号：US20240416920A1
公开(公告)日：2024-12-19
申请号：US18504797
申请日：2023-11-08
Applicant: HYUNDAI MOTOR COMPANY , KIA CORPORATION , IUCF-HYU (Industry-University Cooperation Foundation Hanyang University)
Inventor： Jun Han Kang , Ik Jin Um , Ji Hun Byun , Man Dong Kim , Jung Ho Park , Jin Soo Seo , Chan Uk Yang , Seung Won Choi , Hyuk Ju Shon , Kun Soo Huh
IPC: B60W40/06
Abstract: A road surface condition estimation apparatus includes a storage unit configured to store a road surface condition estimation model, and a road surface severity estimator configured to estimate, based on travel information, severity of a condition of a road surface on which a vehicle is travelling using the road surface condition estimation model.
