Patents by Inventor Minyu JIANG

Minyu JIANG 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: 20250245247
    Abstract: A method of constructing a map based on a large model, a vehicle control method, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, in particular to fields of computer vision, deep learning, large model and generative model technologies. The method includes: acquiring an associated-region lane attribute and an image to be detected, which is collected by an onboard sensor and represents a road region to be detected; constructing a target prompt information based on the associated-region lane attribute; and processing the target prompt information and the image to be detected by using the large model to obtain a regional road map for the road region to be detected. The associated-region lane attribute corresponds to an associated road region, and the associated road region and the road region to be detected meet a predetermined similarity condition.
    Type: Application
    Filed: March 18, 2025
    Publication date: July 31, 2025
    Inventors: Wei ZHANG, Xiao TAN, Weiming ZHANG, Chenting GONG, Xiaopeng BI, Minyue JIANG, Yingying LI, Errui DING, Jingdong WANG, Tian WU, Haifeng WANG
  • Patent number: 12169942
    Abstract: A method for training an image depth estimation model. A sample environmental image, sample environmental point cloud data and sample edge information of the sample environmental image are input into a to-be-trained model; initial depth information of each of pixel points in the sample environmental image and a feature relationship between each of the pixel points and a corresponding neighboring pixel point of each of the pixel points are determined through the to-be-trained model, the initial depth information of each of the pixel points is optimized according to the feature relationship to obtain optimized depth information of each of the pixel points, and a parameter of the to-be-trained model is adjusted according to the optimized depth information to obtain the image depth estimation model.
    Type: Grant
    Filed: May 19, 2021
    Date of Patent: December 17, 2024
    Inventors: Minyue Jiang, Xipeng Yang, Xiao Tan, Hao Sun
  • Patent number: 11727676
    Abstract: The present disclosure provides an image processing method. An image to be classified is input into a feature extraction model to generate N dimensional features. Dimension fusion is performed on M features of the N dimensional features to obtain M dimension fusion features. The image to be classified is processed based on M dimension fusion features and remaining features of the N dimensional features other than the M features.
    Type: Grant
    Filed: March 26, 2021
    Date of Patent: August 15, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Yingying Li, Xiao Tan, Minyue Jiang, Hao Sun
  • Patent number: 11694436
    Abstract: The present application discloses a vehicle re-identification method and apparatus, a device and a storage medium, which relates to the field of computer vision, intelligent search, deep learning and intelligent transportation. The specific implementation scheme is: receiving a re-identification request from a terminal device, the re-identification request including a first image of a first vehicle shot by a first camera and information of the first camera; acquiring a first feature of the first vehicle and a first head orientation of the first vehicle according to the first image; determining a second image of the first vehicle from images of multiple vehicles according to the first feature, multiple second features extracted based on the images of the multiple vehicles in an image database, the first head orientation of the first vehicle, and the information of the first camera; and transmitting the second image to the terminal device.
    Type: Grant
    Filed: February 1, 2021
    Date of Patent: July 4, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Minyue Jiang, Xiao Tan, Hao Sun, Hongwu Zhang, Shilei Wen, Errui Ding
  • Patent number: 11432409
    Abstract: Disclosed is a LED display module, which includes a rear plate; at least one clamping strip including a plurality of clamping slots; and a plurality of light bars limited by the plurality of clamping slots. The clamping strip includes a handle, and the rear plate includes at least one through hole configured for the handle to pass through. The LED display module provided by the present application includes at least one handle which is convenient for the user to carry and maintain. The structure is stable, and the LED display module is not easy to be damaged during transportation.
    Type: Grant
    Filed: January 20, 2020
    Date of Patent: August 30, 2022
    Assignee: UNILUMIN GROUP CO., LTD
    Inventors: Minyu Jiang, Kuang Yang
  • Publication number: 20220270373
    Abstract: A method, an electronic device and a storage medium are provided. The method may include: acquiring a to-be-inspected image; inputting the to-be-inspected image into a pre-established vehicle detection model to obtain a vehicle detection result, where the vehicle detection result includes category information, coordinate information, coordinate reliabilities, and coordinate error information of detection boxes, and the vehicle detection model is configured for characterizing a corresponding relationship between images and vehicle detection results; selecting, based on the coordinate reliabilities of the detection boxes, a detection box from the vehicle detection result for use as a to-be-processed detection box; and generating, based on coordinate information and coordinate error information of the to-be-processed detection box, coordinate information of a processed detection box.
    Type: Application
    Filed: May 12, 2022
    Publication date: August 25, 2022
    Inventors: Xipeng Yang, Minyue Jiang, Xiao Tan, Hao Sun, Shilei Wen, Hongwu Zhang, Errui Ding
  • Publication number: 20220215565
    Abstract: A method for generating a depth map, an electronic device and a storage medium. The method includes: obtaining a point cloud map and a visual image of a scene; generating a first depth value of each pixel in the visual image based on the point cloud map and the visual image; determining a three-dimensional coordinate location of each pixel in a world coordinate system based on a coordinate location and the first depth value of each pixel in the visual image; generating a second depth value of each pixel by inputting the three-dimensional coordinate location and pixel information of each pixel into a depth correction model; and generating the depth map of the scene based on the second depth value of each pixel.
    Type: Application
    Filed: March 24, 2022
    Publication date: July 7, 2022
    Inventors: Minyue JIANG, Xiao TAN, Hao SUN
  • Publication number: 20210287015
    Abstract: The present application discloses a method and an apparatus for vehicle re-identification, a training method, an electronic device and a storage medium, relating to the field of artificial intelligence, in particular, to technologies of computer vision, deep learning and intelligent transport. A specific implementation is: acquiring a picture of a target vehicle to be re-identified, determining a target two-dimensional image of the target vehicle based on the picture and a preset initial three-dimensional model, the initial three-dimensional model being generated based on sample three-dimensional information of a sample vehicle, and re-identifying the target two-dimensional image to generate and output an identification result.
    Type: Application
    Filed: June 2, 2021
    Publication date: September 16, 2021
    Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.
    Inventors: Minyue JIANG, Xiao TAN, Hao SUN
  • Publication number: 20210272306
    Abstract: The present application discloses a method for training an image depth estimation model, a method and apparatus for processing image depth information, an automatic driving vehicle, an electronic device, a program product, a storage medium, which includes: inputting a sample environmental image, sample environmental point cloud data and sample edge information of the sample environmental image into a to-be-trained model; and determining initial depth information of each of pixel points in the sample environmental image and a feature relationship between each of the pixel points and a corresponding neighboring pixel point of each of the pixel points through the to-be-trained model, and optimizing the initial depth information of each of the pixel points according to the feature relationship to obtain optimized depth information of each of the pixel points, and adjusting a parameter of the to-be-trained model according to the optimized depth information to obtain the image depth estimation model.
    Type: Application
    Filed: May 19, 2021
    Publication date: September 2, 2021
    Inventors: Minyue JIANG, Xipeng YANG, Xiao TAN, Hao SUN
  • Publication number: 20210232856
    Abstract: The present disclosure provides an image processing method. An image to be classified is input into a feature extraction model to generate N dimensional features. Dimension fusion is performed on M features of the N dimensional features to obtain M dimension fusion features. The image to be classified is processed based on M dimension fusion features and remaining features of the N dimensional features other than the M features.
    Type: Application
    Filed: March 26, 2021
    Publication date: July 29, 2021
    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Yingying Li, Xiao Tan, Minyue Jiang, Hao Sun
  • Publication number: 20210192214
    Abstract: The present application discloses a vehicle re-identification method and apparatus, a device and a storage medium, which relates to the field of computer vision, intelligent search, deep learning and intelligent transportation. The specific implementation scheme is: receiving a re-identification request from a terminal device, the re-identification request including a first image of a first vehicle shot by a first camera and information of the first camera; acquiring a first feature of the first vehicle and a first head orientation of the first vehicle according to the first image; determining a second image of the first vehicle from images of multiple vehicles according to the first feature, multiple second features extracted based on the images of the multiple vehicles in an image database, the first head orientation of the first vehicle, and the information of the first camera; and transmitting the second image to the terminal device.
    Type: Application
    Filed: February 1, 2021
    Publication date: June 24, 2021
    Inventors: Minyue JIANG, Xiao TAN, Hao SUN, Hongwu ZHANG, Shilei WEN, Errui DING
  • Publication number: 20200275562
    Abstract: Disclosed is a LED display module, which includes a rear plate; at least one clamping strip including a plurality of clamping slots; and a plurality of light bars limited by the plurality of clamping slots. The clamping strip includes a handle, and the rear plate includes at least one through hole configured for the handle to pass through. The LED display module provided by the present application includes at least one handle which is convenient for the user to carry and maintain. The structure is stable, and the LED display module is not easy to be damaged during transportation.
    Type: Application
    Filed: January 20, 2020
    Publication date: August 27, 2020
    Inventors: Minyu JIANG, Kuang YANG