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公开(公告)号：US20240351608A1
公开(公告)日：2024-10-24
申请号：US18305647
申请日：2023-04-24
Applicant: GM Cruise Holdings LLC
Inventor： Jessica Bartholdy SANSON , Kalin Hirstov KABAKCHIEV , Stefan Andreas BRISKEN , Andre GIERE
CPC classification number: B60W60/001 , B60W40/10 , B60W2420/408
Abstract: Various technologies described herein pertain to a radar sensor system that performs ego motion estimation. A radar sensor system can be utilized to generate an instantaneous three-dimensional ego motion estimate of a vehicle. The radar sensor system employs an algorithm that enables generating ego motion estimates for velocities of the vehicle that can be greater than, less then, or equal to the unambiguous maximum velocity of the radar sensor system. Moreover, a single radar sensor system of a vehicle can implement the approaches set forth herein and the techniques can be applicable regardless of modulation of the radar sensor system.
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2.发明公开公开(公告)号：US20240317239A1
公开(公告)日：2024-09-26
申请号：US18578835
申请日：2022-07-14
Applicant: MAGNA Powertrain GmbH & Co KG
Inventor： Robert Haring , Michael Kollmann , Christian Prettenthaler , Jan Wiechmann
IPC: B60W40/068 , B60W40/10 , B60W50/00
CPC classification number: B60W40/068 , B60W40/10 , B60W2050/0035 , B60W2520/105 , B60W2520/125 , B60W2520/14 , B60W2520/28 , B60W2720/14 , B60W2720/30
Abstract: A method for determining non-directly measurable driving status variables of a vehicle reads in by a sensor device and transmits to a computing device the following:
wheel speed of each vehicle wheel,
steering angle of the vehicle,
yaw angle rate,
longitudinal road inclination of the vehicle,
transverse road inclination of the vehicle.
Driving status variables are calculated by the computing device with a computational model, so that further driving variables that are difficult to measure or not directly measurable can be determined on the basis of the calculated driving status variables. The calculated and determined variables are transmitted to an actuator device to control and/or regulate the vehicle. The computational model contains a vehicle model, a tire model, and a wheel suspension model and are solved together in the computing device according to the following differential equation system:
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3.发明公开公开(公告)号：US20240300535A1
公开(公告)日：2024-09-12
申请号：US18597211
申请日：2024-03-06
Applicant: DAIMLER TRUCK AG
Inventor： Atta OVEISI , Eeran MAITI , Tobias SCHWALB
CPC classification number: B60W60/0015 , B60W30/09 , B60W40/10 , B60W2300/145 , B60W2420/403 , B60W2420/408 , B60W2520/06 , B60W2552/10 , B60W2554/402 , B60W2556/35 , B60W2556/40
Abstract: An autonomous commercial vehicle transporting oversized loads is controlled based on sensor data determined by environment sensors of the commercial vehicle and/or data of a digital map. Navigable areas including lanes in the direction of and against the direction of travel and hard shoulders are determined in the form of respective polygons, in which the autonomous commercial vehicle may be present. The behavior of the autonomous commercial vehicle is determined depending on the navigable areas, objects identified on the basis of the sensor data, and an intrinsic movement estimation. At least one corridor command is transmitted to a movement planning module, which plans a trajectory and/or a path of the commercial vehicle with avoidance of a collision with identified objects. The planned trajectory and/or the planned path are/is fed to a movement control module, which controls the autonomous commercial vehicle such that it follows the planned trajectory and/or the planned path.
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公开(公告)号：US20240300499A1
公开(公告)日：2024-09-12
申请号：US18663046
申请日：2024-05-13
Applicant: Zimeno Inc.
Inventor： Rama Venkata Surya Kumar Varma BHUPATIRAJU , Deepak Rajasekhar KARISHETTI , Benjamin M. GATTEN , Sanket GOYAL
CPC classification number: B60W40/10 , A01B69/001 , A01B69/004 , A01B69/008 , G06V20/56 , B60W2420/403 , B60W2520/14 , B60W2552/15 , B60W2552/53 , G05D1/227 , G06T2207/10028
Abstract: A vehicle row follow system may include a vehicle comprising at least one sensor to output signals serving as a basis for a three-dimensional (3D) point cloud and to output signals corresponding to a two-dimensional (2D) image of a region forward the vehicle. The system may further include a non-transitory computer readable medium containing instructions to direct a processor to: determine plan row lines in a 2D image; determine a yaw of the vehicle based upon a slope of a heading line relative to a centerline between the plant row lines in the 2D image; determine a lateral offset of the vehicle from the centerline between the consecutive plant rows based upon an identity of the consecutive plant rows in the 3D point cloud; and output steering control signals based upon the determined yaw and lateral offset of the vehicle.
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公开(公告)号：US12084064B2
公开(公告)日：2024-09-10
申请号：US17933554
申请日：2022-09-20
Inventor： Amir Khajepour , Amin Habibnejad Korayem , Ehsan Hashemi , Qingrong Zhao , SeyedAlireza Kasaiezadeh Mahabadi , Yechen Qin
CPC classification number: B60W40/10 , B60W40/13 , G07C5/085 , B60W2040/1315
Abstract: A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.
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Patent Agency Ranking
6.发明授权公开(公告)号：US12060069B2
公开(公告)日：2024-08-13
申请号：US17674026
申请日：2022-02-17
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA , ADVICS CO., LTD.
Inventor： Kazuki Miyake , Akitsugu Sakai , Nobuhiro Tazawa , Shota Higashi
IPC: B60W50/10 , B60W30/06 , B60W30/08 , B60W30/12 , B60W30/14 , B60W40/09 , B60W40/10 , B60W50/00 , B60W60/00
Abstract: A manager includes an accepting unit that accepts a plurality of application IDs and a plurality of kinematic plans from a plurality of advanced driver assistance system (ADAS) applications; an arbitration unit that arbitrates the kinematic plans; and an output unit that outputs a motion request to an actuator system based on an arbitration result by the arbitration unit, the output unit outputting the motion request to the actuator system corresponding to the application ID.
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公开(公告)号：US20240255600A1
公开(公告)日：2024-08-01
申请号：US18468207
申请日：2023-09-15
Applicant: SEMICONDUCTOR COMPONENTS INDUSTRIES, LLC
Inventor： Marek HUSTAVA
CPC classification number: G01S3/46 , B60W40/10 , B60W2420/54 , B60W2554/4049
Abstract: A smart ultrasonic integrated-circuit that allows at least one MEMS device to be combined with a piezoelectric transducer in a sensor array module. The sensor array module is capable of additional functionality for an advanced driver assistance system. For example, the MEMS device can add functionality because its wide bandwidth allows for simultaneous detection of audio signals and ultrasonic signals. Accordingly, the sensor array module may provide dual-mode (audio and ultrasonic) sensing in a single module. Additionally the size/cost of a MEMS device allows for the use of a two-dimensional array for receiving ultrasonic echoes which can add a dimension to the ultrasonic range detection for a vehicle.
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公开(公告)号：US12037004B2
公开(公告)日：2024-07-16
申请号：US18222774
申请日：2023-07-17
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 , G05D1/00 , B62D1/28 , B62D6/00
CPC classification number: B60W50/12 , B60W40/06 , B60W40/08 , B60W40/10 , B60W50/0098 , B60W60/0059 , G05D1/0061 , B60W2040/0809 , B60W2050/0072 , B60W2050/0095 , B60W2510/30 , B60W2540/22 , B60W2552/00 , B60W2555/20 , B60W2556/10 , B60W2756/10 , B62D1/286 , B62D6/007
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：US12030504B2
公开(公告)日：2024-07-09
申请号：US17211234
申请日：2021-03-24
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vipul Shyam Javeri , Mourya C. Darivemula , Aaroon Thowfiq Shahul Hameed , Nishitha Reddy Nalla , Jeyanth John Britto
CPC classification number: B60W40/09 , B60W40/10 , G06N20/00 , H04W4/029 , H04W12/80 , B60W2040/0863 , B60W2420/403
Abstract: In some implementations, a device may receive historical telematics data associated with a vehicle. The device may determine a set of base line driving parameters based on the historical telematics data. The device may receive current telematics data associated with the vehicle. The device may determine a set of current driving parameters based on the current telematics data. The device may determine, based on processing the set of base line driving parameters and the set of current driving parameters with a machine learning model, a type of driving behavior of a driver of the vehicle. The device may determine, based on processing the set of base line driving parameters and the set of current driving parameters with another machine learning model, a severity score associated with the type of driving behavior. The device may perform an action based on the type of driving behavior and the severity score.
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公开(公告)号：US12024196B2
公开(公告)日：2024-07-02
申请号：US17341415
申请日：2021-06-08
Inventor： Jianxiong Xiao
CPC classification number: B60W60/0011 , B60W40/10 , B60W60/0027 , G01M17/00 , G06F30/20 , B60W2554/4041
Abstract: A simulation test method for autonomous driving vehicle includes steps of: obtaining source data; constructing a simulation scene according to the source data; controlling a virtual vehicle to perform a simulation test in the simulation scene; detecting a virtual driving trajectory of the virtual vehicle at a predetermined time interval while performing the simulation test; calculating difference between a first position and a second position; adjusting perceptual information related to a coordinate of the first position as perceptual information related to a coordinate of the second position to obtain modified perceptual information when the difference exceeds a first preset value; controlling the virtual vehicle to perform the simulation test based on the modified perceptual information, and detecting the virtual driving trajectory of the virtual vehicle at the predetermined time interval again. Furthermore, a computer equipment and a medium are also provided.
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