Patents by Inventor Minglei Huang

Minglei Huang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240193959
    Abstract: A method includes generating a plurality of lidar inputs based on the lidar data and performing, for each lidar input from among the plurality of lidar inputs, a convolutional neural network (CNN) routine to: generate a plurality of bounding boxes based on the lidar inputs, determine one or more dimensional characteristics associated with each of the plurality of bounding boxes, and generate a confidence score associated with each of the plurality of bounding boxes. The method includes selecting one or more target bounding boxes from among the plurality of bounding boxes based on the confidence score associated with each of the plurality of bounding boxes and identifying the one or more objects based on the one or more target bounding boxes.
    Type: Application
    Filed: February 24, 2023
    Publication date: June 13, 2024
    Applicants: DENSO International America, Inc., DENSO CORPORATION
    Inventor: Minglei HUANG
  • Patent number: 12005733
    Abstract: A sound absorber unit and a vehicle wheel having a sound absorber device are provided. The sound absorber devices includes at least one sound absorber unit or at least one sound absorber assembly which is composed of a plurality of sound absorber units. The sound absorber unit is constructed into a box body in a hexahedron shape and forms a three-layer Helmholtz resonance sound absorption structure with double holes and single holes combined, and meanwhile, the sound absorber unit or the sound absorber assembly forms a structural resonance sound absorber. The double-absorption wheel air chamber sound resonance function organically combining Helmholtz resonance sound absorption and structural resonance sound absorption can be realized.
    Type: Grant
    Filed: February 8, 2021
    Date of Patent: June 11, 2024
    Assignee: CITIC Dicastal Co., Ltd
    Inventors: Xi Li, Zuo Xu, Zhihua Zhu, Shiwen Xu, Shide Li, Shaobing Huang, Mingbo Chen, Minglei Li
  • Publication number: 20240158207
    Abstract: An automatic conveying device and an automatic cleaning device for the handrail belt thereof. The automatic cleaning device includes a base; a first cleaning unit and a second cleaning unit mounted on the base, the first cleaning unit and the second cleaning unit are arranged in a front and back way in a moving direction of the handrail belt; a cleaning liquid conveying device, for conveying cleaning liquid to the first cleaning unit or the second cleaning unit; and a controller configured to control the cleaning liquid conveying device to deliver the cleaning liquid to one of the first cleaning unit and the second cleaning unit that first comes into contact with the handrail belt based on the running direction of the handrail belt during the cleaning operation.
    Type: Application
    Filed: August 4, 2023
    Publication date: May 16, 2024
    Inventors: Jiangxing Huang, Zhengguang Zhou, Mingli Zhou, Minglei Feng
  • Patent number: 11951778
    Abstract: A sound absorber is configured as a rectangular hexahedral box and forms a porous double-layer Helmholtz resonance sound absorbing structure, at the same time, the sound absorber in the form of a box forms a structural resonance sound absorbing device itself, and the first-order natural mode frequency of the device is identical to that of a wheel air chamber. When the box-type sound absorbing structure is assembled in a wheel, double functions of absorbing acoustic resonance of the wheel air chamber under the organic combination of Helmholtz resonance sound absorption and structural resonance sound absorption can be realized.
    Type: Grant
    Filed: January 19, 2020
    Date of Patent: April 9, 2024
    Assignee: CITIC Dicastal Co., LTD
    Inventors: Shiwen Xu, Mingbo Chen, Minglei Li, Shaobing Huang, Tiefeng Hu, Shuwei Feng, Dadong Wang, Weidong Liu
  • Patent number: 11948100
    Abstract: Methods and systems are provided for determining the category of a software application utilizing machine learning (ML) and knowledge graph techniques, and for controlling access to the application by a user based on the category and configured time restrictions for the user. The system includes a feature set extractor and a category predictor with a trained ML model. The trained ML model generates the category of the application based on a feature(s) of the application. The generated category is indicated in a data structure. An access request handler receives a request related to access to the application from a user device. A category determiner determines the category of the application from the data structure. A time usage manager determines an available time usage for the category and the specified user. The access arbiter responds to the request from the user device with the available time usage.
    Type: Grant
    Filed: September 29, 2022
    Date of Patent: April 2, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Daniela Alexander, Ahsanul Haque, Rajesh Shashikant Korde, Minglei Huang, Rui Zhu
  • Publication number: 20240037445
    Abstract: Systems and methods for pessimistic offline reinforcement learning are described herein. In one example, a method for performing offline reinforcement learning determines when sampled states are out of distribution, assigns high probability weights to the sampled states that are out of distribution, generates a fitted Q-function by solving an optimization problem with a minimization term and a maximization term, estimates a Q-value using the fitted Q-function by estimating the overall expected reward assuming the agent is in the present state and performs a present action, and updates the policy according to an existing reinforcement learning algorithm. The minimization term penalizes an overall expected reward when a present state is out of distribution. The maximization term cancels the minimization term when the present state is an in-distribution state.
    Type: Application
    Filed: October 19, 2022
    Publication date: February 1, 2024
    Applicants: Denso International America, Inc., The Regents of the University of California, DENSO CORPORATION
    Inventors: Minglei Huang, Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan
  • Publication number: 20240029271
    Abstract: A computerized method for instance segmentation using single-photon avalanche diode (SPAD) light detection and ranging (Lidar) includes obtaining sensor image data from photon detector of an SPAD Lidar sensor, supplying the obtained sensor image data to a two-dimensional convolutional neural network (CNN) to generate a background mask by identifying target objects in the obtained sensor image data and filtering out background pixels that do not belong to the identified target objects, and supplying point cloud data of the identified target objects to a PointNet model to generate a pixel level instance segmentation output of the identified target objects.
    Type: Application
    Filed: December 23, 2022
    Publication date: January 25, 2024
    Applicants: DENSO International America, Inc., DENSO CORPORATION
    Inventor: Minglei HUANG
  • Patent number: 11760412
    Abstract: A method includes obtaining steering data of the vehicle from one or more steering sensors, determining whether the vehicle is operating in one of a turning state and a non-turning state based on the steering data, performing a localization routine based on a first echo set of the 3D data points from among the plurality of 3D data points when the vehicle is operating in the turning state, and performing the localization routine based on a second echo set of the 3D data points from among the plurality of 3D data points when the vehicle is operating in the non-turning state, where a number of the plurality of 3D data points of the first echo set is greater than a number of the plurality of 3D data points of the second echo set.
    Type: Grant
    Filed: March 30, 2022
    Date of Patent: September 19, 2023
    Assignee: DENSO CORPORATION
    Inventors: Minglei Huang, Prasanna Sivakumar
  • Publication number: 20230116386
    Abstract: A method includes obtaining steering data of the vehicle from one or more steering sensors, determining whether the vehicle is operating in one of a turning state and a non-turning state based on the steering data, performing a localization routine based on a first echo set of the 3D data points from among the plurality of 3D data points when the vehicle is operating in the turning state, and performing the localization routine based on a second echo set of the 3D data points from among the plurality of 3D data points when the vehicle is operating in the non-turning state, where a number of the plurality of 3D data points of the first echo set is greater than a number of the plurality of 3D data points of the second echo set.
    Type: Application
    Filed: March 30, 2022
    Publication date: April 13, 2023
    Applicant: DENSO CORPORATION
    Inventors: Minglei HUANG, Prasanna SIVAKUMAR
  • Publication number: 20230108446
    Abstract: Methods and systems are provided for determining the category of a software application utilizing machine learning (ML) and knowledge graph techniques, and for controlling access to the application by a user based on the category and configured time restrictions for the user. The system includes a feature set extractor and a category predictor with a trained ML model. The trained ML model generates the category of the application based on a feature(s) of the application. The generated category is indicated in a data structure. An access request handler receives a request related to access to the application from a user device. A category determiner determines the category of the application from the data structure. A time usage manager determines an available time usage for the category and the specified user. The access arbiter responds to the request from the user device with the available time usage.
    Type: Application
    Filed: September 29, 2022
    Publication date: April 6, 2023
    Inventors: Daniela ALEXANDER, Ahsanul HAQUE, Rajesh Shashikant KORDE, Minglei HUANG, Rui ZHU
  • Patent number: 11481648
    Abstract: Methods and systems are provided for determining the category of a software application utilizing machine learning (ML) and knowledge graph techniques, and for controlling access to the application by a user based on the category and configured time restrictions for the user. The system includes a feature set extractor and a category predictor with a trained ML model. The trained ML model generates the category of the application based on a feature(s) of the application. The generated category is indicated in a data structure. An access request handler receives a request related to access to the application from a user device. A category determiner determines the category of the application from the data structure. A time usage manager determines an available time usage for the category and the specified user. The access arbiter responds to the request from the user device with the available time usage.
    Type: Grant
    Filed: May 7, 2020
    Date of Patent: October 25, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Daniela Alexander, Ahsanul Haque, Rajesh Shashikant Korde, Minglei Huang, Rui Zhu
  • Patent number: 11238607
    Abstract: A system for measuring accuracy of an electronic map or a localization of a vehicle may include one or more processors and a memory in communication with the one or more processors having an image capture module, a ground truth generating module, a curve function generating module, and an accuracy determining module. These modules contain instructions that when executed by the one or more processors causes the processors to obtain sensor data that includes images of one or more road lane markings of a road or trajectory data regarding the trajectory of the vehicle, determine ground truth curvature values, perform a curve fitting of map lane marking points or map trajectory points, and compare curvature values of a curve function generated by the curve fitting to the ground truth curvature values to determine the accuracy the electronic map or the localization of the vehicle.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: February 1, 2022
    Assignee: Denso International America, Inc.
    Inventors: Minglei Huang, Hiroshi Inou
  • Publication number: 20210350252
    Abstract: Methods and systems are provided for determining the category of a software application utilizing machine learning (ML) and knowledge graph techniques, and for controlling access to the application by a user based on the category and configured time restrictions for the user. The system includes a feature set extractor and a category predictor with a trained ML model. The trained ML model generates the category of the application based on a feature(s) of the application. The generated category is indicated in a data structure. An access request handler receives a request related to access to the application from a user device. A category determiner determines the category of the application from the data structure. A time usage manager determines an available time usage for the category and the specified user. The access arbiter responds to the request from the user device with the available time usage.
    Type: Application
    Filed: May 7, 2020
    Publication date: November 11, 2021
    Inventors: Daniela Alexander, Ahsanul Haque, Rajesh Shashikant Korde, Minglei Huang, Rui Zhu
  • Patent number: 11142196
    Abstract: The present disclosure is directed toward a lane detection method. The method includes: acquiring road information for a section of a road upon which a subject vehicle is traveling, determining whether an adjacent vehicle is traveling in vicinity of the subject vehicle, defining, in response to determining the presence of the adjacent vehicle, a vehicle trajectory based on movement of the adjacent vehicle and the road information, detecting one or more lane markings along the road upon which the subject vehicle is traveling, defining a lane marking trajectory in response to detecting the one or more lane markings, calculating a lane accuracy for each estimated lane trajectory that includes the vehicle trajectory, the lane marking trajectory, or a combination thereof, and selecting a drive lane from among the estimated lane trajectories based on the lane accuracy.
    Type: Grant
    Filed: February 3, 2019
    Date of Patent: October 12, 2021
    Assignees: DENSO INTERNATIONAL AMERICA, INC., DENSO CORPORATION
    Inventor: Minglei Huang
  • Publication number: 20210304433
    Abstract: A system for measuring accuracy of an electronic map or a localization of a vehicle may include one or more processors and a memory in communication with the one or more processors having an image capture module, a ground truth generating module, a curve function generating module, and an accuracy determining module. These modules contain instructions that when executed by the one or more processors causes the processors to obtain sensor data that includes images of one or more road lane markings of a road or trajectory data regarding the trajectory of the vehicle, determine ground truth curvature values, perform a curve fitting of map lane marking points or map trajectory points, and compare curvature values of a curve function generated by the curve fitting to the ground truth curvature values to determine the accuracy the electronic map or the localization of the vehicle.
    Type: Application
    Filed: March 31, 2020
    Publication date: September 30, 2021
    Inventors: Minglei Huang, Hiroshi Inou
  • Patent number: 11117576
    Abstract: A lane trace control system for maintaining a vehicle in its intended lane of travel. The system includes a lane trace control module configured to: compare the road information obtained by a lane recognition camera with map data obtained from a map module; determine a confidence level of the lane recognition camera based on a magnitude of any differences identified between the road information obtained from the lane recognition camera and the obtained map data; generate a target wheel angle for keeping the vehicle in its intended lane based entirely on the road information obtained from the lane recognition camera when the confidence level is above a predetermined threshold; and generate the target wheel angle based on a combination of the road information obtained from the lane recognition camera and the obtained map data of the road when the confidence level is below the predetermined threshold.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: September 14, 2021
    Assignee: DENSO CORPORATION
    Inventors: Minglei Huang, Yu Yan, Hiroshi Inou
  • Publication number: 20210101596
    Abstract: A vehicle control system includes a controller that is to be provided in a subject vehicle. The controller is configured to acquire data regarding an identified object ahead of the subject vehicle, determine whether the identified object is a stop-go object based on the acquired data, and output a stop-go control in response to the identified object being the stop-go object. The data includes information indicative of a classification of the identified object, and the stop-go control generates a dynamic profile that defines a deceleration and an acceleration of the subject vehicle for automatically performing a stop-go operation.
    Type: Application
    Filed: October 3, 2019
    Publication date: April 8, 2021
    Applicant: DENSO International America, Inc.
    Inventors: Yu YAN, Hiroshi INOU, Brandon BURNETT, Minglei HUANG
  • Patent number: 10838421
    Abstract: An autonomous drive system for a vehicle. The system has an autonomous drive module configured to pilot the vehicle. A control module monitors operating performance of the autonomous drive system. A location module identifies the vehicle's location. A transmitter/receiver communicates with a high risk location monitoring module at a location remote to the vehicle. When the control module determines that performance of the autonomous drive system is below a predetermined performance threshold, the control module retrieves the vehicle's location from the location module and transmits the vehicle's location to the high risk location monitoring module, which records the vehicle's current location to notify other vehicles that autonomous drive issues may occur at the vehicle's location.
    Type: Grant
    Filed: February 9, 2018
    Date of Patent: November 17, 2020
    Assignee: DENSO CORPORATION
    Inventors: Minglei Huang, Yu Yan, Hiroshi Inou
  • Publication number: 20200247407
    Abstract: A lane trace control system for maintaining a vehicle in its intended lane of travel. The system includes a lane trace control module configured to: compare the road information obtained by a lane recognition camera with map data obtained from a map module; determine a confidence level of the lane recognition camera based on a magnitude of any differences identified between the road information obtained from the lane recognition camera and the obtained map data; generate a target wheel angle for keeping the vehicle in its intended lane based entirely on the road information obtained from the lane recognition camera when the confidence level is above a predetermined threshold; and generate the target wheel angle based on a combination of the road information obtained from the lane recognition camera and the obtained map data of the road when the confidence level is below the predetermined threshold.
    Type: Application
    Filed: February 4, 2019
    Publication date: August 6, 2020
    Inventors: Minglei HUANG, Yu YAN, Hiroshi INOU
  • Publication number: 20200247406
    Abstract: The present disclosure is directed toward a lane detection method. The method includes: acquiring road information for a section of a road upon which a subject vehicle is traveling, determining whether an adjacent vehicle is traveling in vicinity of the subject vehicle, defining, in response to determining the presence of the adjacent vehicle, a vehicle trajectory based on movement of the adjacent vehicle and the road information, detecting one or more lane markings along the road upon which the subject vehicle is traveling, defining a lane marking trajectory in response to detecting the one or more lane markings, calculating a lane accuracy for each estimated lane trajectory that includes the vehicle trajectory, the lane marking trajectory, or a combination thereof, and selecting a drive lane from among the estimated lane trajectories based on the lane accuracy.
    Type: Application
    Filed: February 3, 2019
    Publication date: August 6, 2020
    Applicants: DENSO International America, Inc., DENSO CORPORATION
    Inventor: Minglei HUANG