Patents Examined by Aniss Chad
  • Patent number: 12027057
    Abstract: A device for flight data prediction includes a memory, a communication interface, and one or more processors. The memory is configured to store a departure airport map. The communication interface is configured to receive location data for a plurality of aircraft expected to arrive at or depart from a departure airport during a particular time range. The one or more processors are configured to predict, based on the location data and the departure airport map, a taxi duration or a fuel usage of a first aircraft of the plurality of aircraft. The one or more processors are also configured to generate an output based on the taxi duration or the fuel usage.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: July 2, 2024
    Assignee: THE BOEING COMPANY
    Inventors: Guillermo Frontera, Javier Lopez Leones, Nicolas Pena Ortiz, Pablo Costas
  • Patent number: 12020467
    Abstract: The present disclosure provides a method for optimizing a tag of a point of interest s(POI). The method includes: obtaining first portrait feature data of each POI in a plurality of POIs and second portrait feature data of each tag in a plurality of marked tags corresponding to the plurality of POIs; mapping the first portrait feature data of each POI and the second portrait feature data of each tag to a metric space to obtain a first feature vector of each POI and a second feature vector of each tag; and optimizing at least one marked tag corresponding to a target POI based on a vector similarity between a first feature vector of the target POI and a second feature vector of at least one tag. The present disclosure provides an apparatus for optimizing a tag of a POI, an electronic device and a computer readable medium.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: June 25, 2024
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Jingbo Zhou, Renjun Hu, Airong Jiang, Jianguo Duan, Hui Xiong
  • Patent number: 12020137
    Abstract: Provided are systems for authenticating an individual using image feature templates that include at least one processor to train a first machine learning model based on a training dataset of a plurality of images of a user, generate a plurality of image feature templates using the first machine learning model, wherein each image feature template of the plurality of image feature templates is associated with a positive authentication of the identity of the user during a time interval, generate a second machine learning model based on the plurality of image feature templates, generate a predicted image feature template using the second machine learning model, determine whether to authenticate the identity of the user based on an input image of the user, and perform an action based on determining whether to authenticate the identity of the user. Methods and computer program products are also provided.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: June 25, 2024
    Assignee: Visa International Service Association
    Inventors: Shengfei Gu, Peng Wu, Yiwei Cai, Minghua Xu
  • Patent number: 12017689
    Abstract: The invention relates to a method for determining an actual position of rails of a track by means of an optical sensor device, positioned on a rail vehicle, for recording the position of the track and adjacent installations. In this, it is provided that, by means of the sensor device, a course of the track and a course of the adjacent installations, in particular a catenary installation, are recorded for a track section as preliminary actual data, and that the preliminary actual data are transformed into corrected actual data in an evaluation device in that a recorded course of at least one adjacent installation is transformed into a course with a specified geometric shape. In addition, the invention relates to a system for implementing the method.
    Type: Grant
    Filed: May 2, 2019
    Date of Patent: June 25, 2024
    Assignee: Plasser & Theurer Export von Bahnbaumaschinen GmbH
    Inventor: Martin Buerger
  • Patent number: 12020143
    Abstract: Inspired by the processing methods of biologic brains, we construct a network of multiple configurable non-volatile memory arrays connected with bus-lines as a neuromorphic code processor for code processing. In contrast to the Von-Neumann computing architectures applying the multiple computations for code vector manipulations, the neuromorphic code processor of the invention processes codes according to their configured codes stored in the non-volatile memory arrays. Similar to the brain processor, the neuromorphic code processor applies the one-step feed-forward processing in parallel resulting in a dramatic power reduction compared with the computational methods in the conventional computer processors.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: June 25, 2024
    Assignee: FLASHSILICON INCORPORATION
    Inventor: Lee Wang
  • Patent number: 12013245
    Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.
    Type: Grant
    Filed: October 9, 2020
    Date of Patent: June 18, 2024
    Assignee: Deere & Company
    Inventors: Nathan R Vandike, Bhanu Kiran Reddy Palla, Noel W. Anderson, Matthew T. Wold
  • Patent number: 12012126
    Abstract: Techniques for determining a location of a vehicle in an environment using sensors and determining calibration information associated with the sensors are discussed herein. A vehicle can use map data to traverse an environment. The map data can include semantic map objects such as traffic lights, lane markings, etc. The vehicle can use a sensor, such as an image sensor, to capture sensor data. Semantic map objects can be projected into the sensor data and matched with object(s) in the sensor data. Such semantic objects can be represented as a center point and covariance data. A distance or likelihood associated with the projected semantic map object and the sensed object can be optimized to determine a location of the vehicle. Sensed objects can be determined to be the same based on matching with the semantic map object. Epipolar geometry can be used to determine if sensors are capturing consistent data.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: June 18, 2024
    Assignee: Zoox, Inc.
    Inventors: Nathaniel Jon Kaiser, Till Kroeger, Elena Stephanie Stumm
  • Patent number: 12014257
    Abstract: A system automatically generates recurrent neural network (RNN) architectures for performing specific tasks, for example, machine translation. The system represents RNN architectures using a domain specific language (DSL). The system generates candidate RNN architectures. The system predicts performances of the generated candidate RNN architectures, for example, using a neural network. The system filters the candidate RNN architectures based on their predicted performance. The system generates code for selected a candidate architectures. The generated code represents an RNN that is configured to perform the specific task. The system executes the generated code, for example, to evaluate an RNN or to use the RNN in an application.
    Type: Grant
    Filed: April 13, 2018
    Date of Patent: June 18, 2024
    Assignee: Salesforce, Inc.
    Inventors: Stephen Joseph Merity, Richard Socher, James Bradbury, Caiming Xiong
  • Patent number: 12013244
    Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to generate potential paths for the vehicle to navigate an intersection in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as heat maps corresponding to key points associated with the intersection, vector fields corresponding to directionality, heading, and offsets with respect to lanes, intensity maps corresponding to widths of lanes, and/or classifications corresponding to line segments of the intersection. The outputs may be decoded and/or otherwise post-processed to reconstruct an intersection—or key points corresponding thereto—and to determine proposed or potential paths for navigating the vehicle through the intersection.
    Type: Grant
    Filed: April 14, 2020
    Date of Patent: June 18, 2024
    Assignee: NVIDIA Corporation
    Inventors: Trung Pham, Hang Dou, Berta Rodriguez Hervas, Minwoo Park, Neda Cvijetic, David Nister
  • Patent number: 12005912
    Abstract: A method is provided for controlling a self-propelled work vehicle comprising a work attachment and at least left and right ground engaging units driven by respective first and second drivetrains. Upon determining transition from a first operating mode to a second operating mode (e.g., creep mode), the method includes selectively derating at least a portion of the drivetrain speed commands corresponding to propulsion of the work vehicle (e.g., the average of left and right track speeds), independent of a portion of the drivetrain speed commands corresponding to steering (e.g., the difference between the track speeds). The derate value may optionally be applied only to propulsion commands that produce forward motion, and not for reverse motion. Separate (non-zero) derate settings may optionally be provided for reverse and/or steering functions. Derate functionality may optionally be implemented upon detecting particular types (e.g. dozer) of attachments, or an associated work state.
    Type: Grant
    Filed: March 9, 2021
    Date of Patent: June 11, 2024
    Assignee: Deere & Company
    Inventors: Todd F. Velde, Benjamin J. Morrison, John R. Mahrenholz
  • Patent number: 12007490
    Abstract: A fully self-contained portable location tracking device autonomously compares a current location with a latitude-longitude map stored in memory. The latitude-longitude map stores guidance zone values indicative of a predetermined safe zone, progressive alert zones, and a predetermined reference point. The guidance zone values represent actions to be taken based upon current location. When initiated by some combination of current location or zone value, location history, and time, or when otherwise queried, the tracking device transmits the offset from reference location, rather than actual current location data, to at least one wireless communications monitoring apparatus. When further security is desired, the transmitted offset is also digitally encrypted or otherwise obfuscated. The monitoring apparatus also stores a copy of the latitude-longitude map and reference point.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: June 11, 2024
    Inventor: Rodney P. Landers
  • Patent number: 12004439
    Abstract: A bale retriever includes: a chassis; a steering assembly carried by the chassis and configured to steer the bale retriever; a bale pick up carried by the chassis; and a controller operatively coupled to the steering assembly. The controller is configured to: receive a field signal corresponding to a field map; receive a baler travel signal corresponding to at least one of a baler planned path or a baler travel path of at least one baler; define an expected location of at least one bale on the field map based at least partially on the baler travel signal; generate a steering control signal based at least partially on the expected location of the at least one bale; and output the steering control signal to the steering assembly.
    Type: Grant
    Filed: January 18, 2021
    Date of Patent: June 11, 2024
    Assignee: CNH Industrial America LLC
    Inventors: Devin Cooley, Scott C. Simmons, Kevin M. Smith
  • Patent number: 12000711
    Abstract: A method is described for verifying a digital map of a higher-level automated vehicle (HAV), in particular a highly automated vehicle, including the steps: S1 providing a digital map, preferably a highly accurate digital map: S2 determining an instantaneous reference position and localizing the reference position in the digital map; S3 establishing at least one actual feature property of a feature in the surroundings of the reference position, the establishment being carried out with the aid of at least one information source; S4 comparing the actual feature property to a setpoint feature property of the feature and ascertaining at least one difference value as the result of the comparison. A corresponding device and a computer program are also described.
    Type: Grant
    Filed: June 4, 2018
    Date of Patent: June 4, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Ali Alawieh, Carsten Hasberg, Danny Hiendriana, Fabian Dominik Reister, Jan-Hendrik Pauls, Muhammad Sheraz Khan, Philipp Rasp, Valentin Frommherz
  • Patent number: 12001931
    Abstract: Aspects relate to a machine learning system implementing an evolutionary boosting machine. The system may initially select randomized feature sets for an initial generation of candidate models. Evolutionary algorithms may be applied to the system to create later generations of the cycle, combining and mutating the feature selections of the candidate models. The system may determine optimal number of boosting iterations for each candidate model in a generation by building boosting iterations from an initial value up to a predetermined maximum number of boosting iterations. When a final generation is achieved, the system may evaluate the optimal model of the generation. If the optimal boosting iterations of the optimal model does not meet solution constraints on the optimal boosting iterations, the system may adjust a learning rate parameter and then proceed to the next cycle. Based on termination criteria, the system may determine a resulting/final optimal mode.
    Type: Grant
    Filed: December 13, 2018
    Date of Patent: June 4, 2024
    Assignee: Allstate Insurance Company
    Inventor: Ousef Kuruvilla
  • Patent number: 11999351
    Abstract: A method, a device, and a computer program product wherein the further profile of a test route of a transportation vehicle is determined during a test run. Both the loads which are already applied to the transportation vehicle as well as the loads which act on the transportation vehicle on successive sections of road are included in the determination of the further test route. The test route is tailored individually to the transportation vehicle and to a load target value which is attained therewith. The satisfaction of the load target value is ensured in that the test route is adapted at any time in accordance with the actual applications of load and the loads which are expected.
    Type: Grant
    Filed: December 12, 2019
    Date of Patent: June 4, 2024
    Assignee: VOLKSWAGEN AKTIENGESELLSCHAFT
    Inventor: Florian Grober
  • Patent number: 11995981
    Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising a normalized surface condition monitoring sensor, and a processing unit comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to process surface data based on a real time position of the apparatus to obtain calibration of the surface condition monitoring sensor, wherein values of the surface data originate from at least one normalized surface condition monitoring system, and wherein at least some of the values of the surface data are associated with position information.
    Type: Grant
    Filed: October 9, 2020
    Date of Patent: May 28, 2024
    Assignee: Vaisala Oyj
    Inventors: Timo Hyvättinen, Kimmo Kynnös, Samuli Laukkanen, Joonas Kivi
  • Patent number: 11995993
    Abstract: A crew alerting system for a mobile platform includes a display device defining a display area, a processor operatively coupled to the display device, and a memory storing instructions that cause the processor to: upon receiving notification of an occurrence of a manual system configuration associated with the mobile platform, generate a first output for causing the display device to display a first indication in the display area, the first indication comprising a first textual message. The processor is further configured to, upon receiving notification of an occurrence of an automated system configuration associated with the mobile platform, generate a second output for causing the display device to display a second indication in the display area, the second indication comprising a second textual message accompanied by a supplemental indication such as a graphical indication.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: May 28, 2024
    Assignee: BOMBARDIER INC.
    Inventors: Marc Bergeron, Benoit Ouellette
  • Patent number: 11995997
    Abstract: The present disclosure relates to a method for configuring a flight route, a flight method, a base station, an unmanned aerial vehicle (UAV) and a computer readable storage medium. The method of configuring a flight route includes: obtaining flight route information of a UAV in a connected state which is served by the base station; and configuring the flight route information for the UAV through a radio resource control (RRC) signaling or a media access control (MAC) control element (CE) signaling.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: May 28, 2024
    Assignee: BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.
    Inventor: Wei Hong
  • Patent number: 11994384
    Abstract: The disclosure relates to a method for radially aligning wheelsets of rail vehicles relative to a coordinate system of a wheelset diagnosis tool and/or wheelset machine tool, which method can be implemented quickly with sufficient precision and comprises the following steps: a) positioning the wheelset at a working position of the tool; b) defining a tool-side coordinate system in an assumed wheel centre point of each wheel, where an X-axis adopts a vertical extent, a Y-axis adopts a horizontal extent and a Z-axis describes the resulting depth extent of the wheel; c) measuring the distance of the wheel backs with respect to one another and defining the Z-position=0 on each wheel back; d) defining a unique Z-position for each measuring point; e) positioning each measuring sensor at the specified Z-position; f) measuring the X-position of each measuring point; g) aligning the wheelset by vertically displacing one of the wheels in order to match the X-positions of the measuring points of two wheels.
    Type: Grant
    Filed: October 11, 2019
    Date of Patent: May 28, 2024
    Assignee: Hegenscheidt-MFD GmbH
    Inventors: John Oliver Naumann, Sascha Tholen, Karl Müller
  • Patent number: 11989861
    Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: May 21, 2024
    Assignee: INTEL CORPORATION
    Inventors: Wenlong Yang, Tomer Rider, Xiaopei Zhang