Patents by Inventor Bin Gao

Bin Gao 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).

  • Patent number: 11648936
    Abstract: A method and apparatus for controlling a vehicle is disclosed. The method may include: determining center points of at least two frames of point clouds collected for an identified obstacle during travelling of the vehicle; performing curve fitting based on the determined center points to obtain a fitted curve; determining a moving velocity of the obstacle based on the fitted curve; predicting whether the vehicle is to be collided with the obstacle when the vehicle continues travelling at a current velocity, based on the moving velocity of the obstacle, the traveling velocity of the vehicle, and a distance between the obstacle and the vehicle; and sending control information to the vehicle, in response to predicting that the vehicle is to be collided with the obstacle when the vehicle continues travelling at the current velocity, the control information being used to control the vehicle to avoid collision with the obstacle.
    Type: Grant
    Filed: June 8, 2020
    Date of Patent: May 16, 2023
    Assignee: APOLLO INTELLIGENT DRIVING TECHNOLOGY (BEIIING) CO., LTD.
    Inventors: Bin Gao, Xiang Liu, Shuang Zhang, Xiaoxing Zhu, Fan Yang
  • Patent number: 11635311
    Abstract: A system and method for multi-rate synchronization of a digital sensor that provides a digital sensor output signal and a processor arrangement that processes the digital sensor output signal according to a processing algorithm and that provides a processor output signal, including operating the digital sensor to provide the digital sensor output signal with a first sample rate, and operating the processor arrangement to provide a processor output signal with a second sample rate. The second sample rate is an integer multiple of the first sample rate.
    Type: Grant
    Filed: May 23, 2019
    Date of Patent: April 25, 2023
    Assignee: Harman Becker Automotive Systems GmbH
    Inventors: Yuliu Cao, Juergen Zollner, Franz Lorenz, Bin Gao, Shiyu Chen, Tingting Zhou, Alex Lee
  • Patent number: 11594623
    Abstract: A nanowire transistor and a manufacture method thereof are provided. The nanowire transistor includes a semiconductor wire, a semiconductor layer, a source electrode and a drain electrode. The semiconductor wire includes a first semiconductor material and includes a source region, a drain region, and a channel region, along an axial direction of the semiconductor wire, the channel region is between the source region and the drain region; the semiconductor layer includes a second semiconductor material and covers the channel region of the semiconductor wire; the source electrode is in the source region of the semiconductor wire and is in direct contact with the source region of the semiconductor wire, and the drain electrode is in the drain region of the semiconductor wire and is in direct contact with the drain region of the semiconductor wire.
    Type: Grant
    Filed: August 3, 2018
    Date of Patent: February 28, 2023
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Feng Xu, Bin Gao, Xinyi Li, Huaqiang Wu, He Qian
  • Patent number: 11593964
    Abstract: Embodiments of the present disclosure relate to methods and apparatuses for outputting information and calibrating a camera. The method may include: acquiring a first image, a second image, and a third image, the first image being an image photographed by a to-be-calibrated camera, the second image being a high-precision map image including a target area indicated by the first image, and the third image being a reflectance image including the target area; fusing the second image and the third image to obtain a fused image; determining a matching point pair based on points selected by a user in the first image and the fused image; and calibrating the to-be-calibrated camera based on coordinates of the matching point pair.
    Type: Grant
    Filed: May 21, 2021
    Date of Patent: February 28, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Xiang Liu, Shuang Zhang, Bin Gao, Xiaoxing Zhu, Fan Yang
  • Patent number: 11579307
    Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting an obstacle. The method may include: acquiring first point cloud data collected by a first vehicle-mounted laser radar and second point cloud data collected by a second vehicle-mounted laser radar, where a height of the first vehicle-mounted laser radar from a ground is greater than a height of the second vehicle-mounted laser radar from the ground, and a number of wiring harnesses of the first vehicle-mounted laser radar is greater than a number of wiring harnesses of the second vehicle-mounted laser radar; performing ground estimation based on the first point cloud data; filtering out a ground point in the second point cloud data according to the ground estimation result of the first point cloud data; and performing obstacle detection based on the second point cloud data after the ground point is filtered out.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: February 14, 2023
    Assignee: APOLLO INTELLIGENT DRIVING TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Shuang Zhang, Xiang Liu, Bin Gao, Xiaoxing Zhu, Jingjing Xue, Fan Yang, Junping Wang, Chengfa Wang
  • Publication number: 20230043106
    Abstract: The invention discloses an eddy current testing system for nondestructive testing of a pipeline, which belongs to the field of nondestructive testing technology. The eddy current testing system comprises a data processing unit, a first signal conditioning unit, a second signal conditioning unit, and a testing probe, wherein the testing probe comprises an excitation coil, a receiving coil, and a passive resonance coil; and the passive resonance coil is arranged between the excitation coil and the receiving coil.
    Type: Application
    Filed: November 15, 2021
    Publication date: February 9, 2023
    Inventors: Bin GAO, Yupei YANG, Yong ZHANG, Liang SHEN, Shiqiang JIANG
  • Patent number: 11574199
    Abstract: A generative adversarial network device and a training method thereof. The generative adversarial network device includes a generator and a discriminator. The generator is configured to generate a first sample according to an input data; the discriminator is coupled to the generator, and is configured to receive the first sample and be trained based on the first sample; the generator includes a first memristor array serving as a first weight array. The generative adversarial network device can omit a process of adding noise to fake samples generated by the generator, thereby saving training time, reducing resource consumption and improving training speed of the generative adversarial network.
    Type: Grant
    Filed: December 1, 2019
    Date of Patent: February 7, 2023
    Assignee: Tsinghua University
    Inventors: Huaqiang Wu, Bin Gao, Yudeng Lin, He Qian
  • Publication number: 20230004357
    Abstract: A method for generating a random number and a random number generator are provided. The method for generating a random number includes: performing n writing operations on at least one analog resistive random access memory, where each of the n writing operations includes applying at least one writing operation pulse to change a conductance value of an operated analog resistive access memory; and generating the random number based on n writing operation pulse numbers respectively corresponding to the n writing operations, where n is a positive integer. The method for generating a random number generates random numbers based on the analog characteristics of the analog resistive random access memory, the generated random number does not need back-end correction, and have both high speed and high reliability.
    Type: Application
    Filed: November 13, 2020
    Publication date: January 5, 2023
    Applicant: TSINGHUA UNIVERSITY
    Inventors: Huaqiang WU, Bohan LIN, Bin GAO, Jianshi TANG, He QIAN
  • Publication number: 20220412500
    Abstract: The invention discloses an NDT device for pipeline, belonging to the field of NDT, including a mobile carrier, which moves with fluid in pipeline or is moved by an actuator; a probe testing assembly, which includes a testing component installed on the mobile carrier and having a testing element in which testing probe is encapsulated; a data processing unit, a first signal conditioning unit and a second signal conditioning unit, wherein the testing probe includes an excitation coil, a receiving coil and a passive resonance coil between the excitation coil and the receiving coil. For the invention, no more magnetizing treatment device is needed for testing, so that the system volume is greatly reduced, thereby reducing the requirement of the testing system of the invention on the internal cleanliness of a pipeline, improving flexibility of equipment in the pipeline of the testing system, and greatly reducing the system cost.
    Type: Application
    Filed: November 15, 2021
    Publication date: December 29, 2022
    Inventors: Bin GAO, Shiqiang JIANG, Liang SHEN, Guiyun TIAN, Fei LUO, Yong ZHANG, Yupei YANG
  • Publication number: 20220404491
    Abstract: A system for controlling sonar beam shapes is provided. The system comprises at least one sonar transducer element having an emitting face. The at least one sonar transducer element is configured to generate a sonar beam having a path. The system also comprises a horn that is configured to rest within the path of the sonar beam. The horn is configured to reform a beam shape of the sonar beam.
    Type: Application
    Filed: June 21, 2021
    Publication date: December 22, 2022
    Inventors: Jayme J. Caspall, Bin Gao, Andrew Chambers
  • Patent number: 11530264
    Abstract: A multifunctional polypeptide chain or a protein. A polypeptide chain X, comprising an antigen 1 binding domain R1, an auxiliary peptide chain linking domain R2 and an antigen 2 binding domain R3. The auxiliary peptide chain linking domain R2 is a cytokine or a cytokine binding domain in a cytokine receptor. A protein, which is a heterodimer composed of the polypeptide chain X as a main peptide chain and an auxiliary peptide chain Y. The auxiliary peptide chain Y comprises an antigen 3 binding domain R4 and a main peptide chain X linking domain R5, or the auxiliary peptide chain Y is the main peptide chain linking domain R5. The multifunctional protein mediates specific cell killing by binding to different tumor antigens with the two antigen binding domains of tumor-associated antigens therein. The multifunctional protein can function as a cytokine by introducing a cytokine or a cytokine receptor complex.
    Type: Grant
    Filed: December 27, 2017
    Date of Patent: December 20, 2022
    Assignee: SHENZHEN BEIKE BIOTECHNOLOGY CO., LTD
    Inventors: Fengyu Zhang, Bin Gao, Lei Wang, Yasong Wu, Qing Wei
  • Publication number: 20220374688
    Abstract: A training method and a training device for a neural network based on memristors are provided. The neural network includes a plurality of neuron layers connected one by one and weight parameters between the plurality of neuron layers, and the training method includes: training the weight parameters of the neural network, and programming a memristor array based on the weight parameters after being trained to write the weight parameters after being trained into the memristor array; and updating a critical layer or several critical layers of the weight parameters of the neural network by adjusting conductance values of at least part of memristors of the memristor array.
    Type: Application
    Filed: March 6, 2020
    Publication date: November 24, 2022
    Applicant: TSINGHUA UNIVERSITY
    Inventors: Huaqiang WU, Peng YAO, Bin GAO, Qingtian ZHANG, He QIAN
  • Publication number: 20220374694
    Abstract: A neural network circuit is described that includes a first sample-and-hold circuit, a reference voltage generation circuit, a first comparator circuit, and a first output circuit. The first sample-and-hold circuit generates a first analog voltage based on a first output current output by a first neural network computation array. The reference voltage generation circuit generates a reference voltage based on a first control signal. The first comparator circuit is connected to the first sample-and-hold circuit and the reference voltage generation circuit, and outputs a first level signal based on the first analog voltage and the reference voltage. The first output circuit samples the first level signal based on a second control signal, and outputs a first computation result that meets the first computation precision.
    Type: Application
    Filed: August 5, 2022
    Publication date: November 24, 2022
    Inventors: Bin GAO, Qi LIU, Leibin NI, Kanwen WANG, Huaqiang WU
  • Publication number: 20220335278
    Abstract: Disclosed are a parallel acceleration method for a memristor-based neural network, a parallel acceleration processor based on a memristor-based neural network and a parallel acceleration device based on a memristor-based neural network. The neural network includes a plurality of functional layers sequentially provided, wherein the plurality of functional layers include a first functional layer and a second functional layer following the first functional layer, the first functional layer includes a plurality of first memristor arrays in parallel, and the plurality of first memristor arrays are configured to execute an operation of the first functional layer in parallel and to output a result of the operation to the second functional layer. The parallel acceleration method includes: executing the operation of the first functional layer in parallel via the plurality of first memristor arrays and outputting the result of the operation to the second functional layer.
    Type: Application
    Filed: January 10, 2020
    Publication date: October 20, 2022
    Applicant: TSINGHUA UNIVERSITY
    Inventors: Huaqiang WU, Peng YAO, Bin GAO, He QIAN
  • Publication number: 20220327242
    Abstract: A data management apparatus determines an association relationship between first service data and first authorization information based on an association relationship between a first source file and the first authorization information, where the first service data is data obtained based on the first source file; and the data management apparatus manages the first service data based on the first authorization information. At least one embodiment is applied to a legal and compliant use scenario of service data after the service data is authorized, and are used to quickly and accurately trace information such as a use scope, a validity period, and a user of the service data. Based on this technology, unauthorized use is effectively limited.
    Type: Application
    Filed: June 23, 2022
    Publication date: October 13, 2022
    Inventor: Bin GAO
  • Patent number: 11468300
    Abstract: A circuit structure and a driving method thereof, a neural network are disclosed. The circuit structure includes at least one circuit unit, each circuit unit includes a first group of resistive switching devices and a second group of resistive switching devices, the first group of resistive switching devices includes a resistance gradual-change device, the second group of resistive switching devices includes a resistance abrupt-change device, the first group of resistive switching devices and the second group of resistive switching devices are connected in series, in a case that no voltage is applied, a resistance value of the first group of resistive switching devices is larger than a resistance value of the second group of resistive switching devices.
    Type: Grant
    Filed: November 14, 2017
    Date of Patent: October 11, 2022
    Assignee: Tsinghua University
    Inventors: Xinyi Li, Huaqiang Wu, Sen Song, Qingtian Zhang, Bin Gao, He Qian
  • Publication number: 20220299648
    Abstract: A method, apparatus, and system for filtering a point cloud generated by a LIDAR device in an autonomous vehicle is disclosed. A point cloud comprising a plurality of points is generated based on outputs of the LIDAR device. The point cloud is filtered to remove a first set of points in the plurality of points that correspond to noise based on one or more of: point intensity measurements, distances between points, or a combination thereof. Perception data is generated based on the filtered point cloud. Operations of the autonomous vehicle are controlled based on the perception data.
    Type: Application
    Filed: March 26, 2020
    Publication date: September 22, 2022
    Inventors: Xiang LIU, Dongchao GAO, Bin GAO, Fan ZHU
  • Publication number: 20220290672
    Abstract: A compressor and a refrigeration system are provided. The compressor has a shell, an air cylinder assembly and a pressure relief device. The shell has a containing cavity. The air cylinder assembly is disposed in the containing cavity, and has an air suction cavity and a pressure relief channel. The pressure relief channel communicates with the air suction cavity and the containing cavity, and has a pressure relief opening. The pressure relief device is connected with the air cylinder assembly. The pressure relief device moves in the axis direction of the pressure relief channel, so as to open or close the pressure relief opening.
    Type: Application
    Filed: May 26, 2022
    Publication date: September 15, 2022
    Applicant: GUANGDONG MEIZHI COMPRESSOR CO., LTD.
    Inventors: Bin GAO, Qiang GAO, Yanhai PENG, Gaimin LI
  • Publication number: 20220275220
    Abstract: Embodiments of this application provide a method for preparing a thin film piezoresistive material, a thin film piezoresistive material, a robot, and a device. The method includes: determining a mass ratio of conductive particles to a cross-linked polymer in preparation of the thin film piezoresistive material, a value range of the mass ratio being 3:97 to 20:80; dispersing the conductive particles and the cross-linked polymer in a solvent according to the mass ratio, to obtain a first dispersion; and curing the first dispersion by using a liquid dropping method within a temperature range of 25° C. to 200° C., to obtain the thin film piezoresistive material. The technical solutions provided by the embodiments of this application provide a method for preparing a thin film piezoresistive material through liquid dropping, thereby effectively controlling the thickness of the piezoresistive material, so that the prepared thin film piezoresistive material has a relatively small thickness.
    Type: Application
    Filed: May 18, 2022
    Publication date: September 1, 2022
    Inventors: Jianshi TANG, Zhenxuan ZHAO, Yuan DAI, Zhengyou ZHANG, Jian YUAN, Huaqiang WU, He QIAN, Bin GAO
  • Publication number: 20220277199
    Abstract: A method for data processing in a neural network system and a neural network system are provided. The method includes: inputting training data into a neural network system to obtain first output data, and adjusting, based on a deviation between the first output data and target output data, a weight value stored in at least one in-memory computing unit in some neural network arrays in a plurality of neural network arrays in the neural network system using parallel acceleration. The some neural network arrays are configured to implement computing of some neural network layers in the neural network system. The method may improve performance and recognition accuracy of the neural network system.
    Type: Application
    Filed: May 20, 2022
    Publication date: September 1, 2022
    Inventors: Bin GAO, Peng YAO, Kanwen WANG, Jianxing LIAO, Tieying WANG, Huaqiang WU