Patents by Inventor Haoxin Wang

Haoxin Wang 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: 20230107999
    Abstract: In accordance with one embodiment of the present disclosure, a system for generating surrounding views includes a controller. The controller may be programmed to perform operations including receiving a status information from a remote source, receiving a surround view system (SVS) request having a set of requirements from a vehicle, identifying one or more remote sources based on the status information of the one or more remote sources and the set of requirements of the SVS request, and directing the one or more remote sources to stream SVS data to the vehicle.
    Type: Application
    Filed: October 4, 2021
    Publication date: April 6, 2023
    Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: BaekGyu Kim, Haoxin Wang, Prashant Tiwari
  • Publication number: 20230090549
    Abstract: Systems, methods, and other embodiments described herein relate to determining an optimal data offloading rate for one or more connected mobile devices. In one embodiment, a method includes receiving mobile device transmission information and receiving edge server resource information. The method includes determining an offloading rate for a mobile device to an edge server based on the mobile device transmission information, the edge server resource information, and a mean-field game algorithm. The method includes outputting the offloading rate to the mobile device.
    Type: Application
    Filed: September 22, 2021
    Publication date: March 23, 2023
    Inventors: Yuhan Kang, Haoxin Wang, BaekGyu Kim
  • Publication number: 20230060164
    Abstract: Systems and methods for maintaining a service session in an automotive edge computing environment are disclosed herein. One embodiment computes a first estimation result pertaining to computation resources of a current edge server with which a vehicle is in communication; computes a second estimation result pertaining to link quality; computes a third estimation result pertaining to service quality; compares the first, second, and third estimation results with first, second, and third predetermined thresholds, respectively; selects a new edge server with which to maintain the service session and initiates a service migration request, when the first predetermined threshold is triggered; initiates a wireless access handover request, when only the second predetermined threshold is triggered; and selects a new edge server with which to maintain the service session and initiates a service migration request, when only the third predetermined threshold is triggered and one of two predetermined conditions is met.
    Type: Application
    Filed: August 26, 2021
    Publication date: March 2, 2023
    Inventors: Haoxin Wang, BaekGyu Kim, Prashant Tiwari
  • Patent number: 11585667
    Abstract: Systems and methods described herein relate to simulating edge-computing deployment in diverse terrains. One embodiment receives a layer-selection input specifying which layers among a plurality of layers in a simulation model of an edge-computing deployment are to be included in a simulation experiment; receives a set of input parameters for each of the layers specified by the layer-selection input, the set of input parameters for one of the layers specified by the layer-selection input including selection of a vehicular application whose performance in the edge-computing deployment is to be evaluated via the simulation experiment; executes the simulation experiment in accordance with the layer-selection input and the set of input parameters for each of the layers specified by the layer-selection input; and outputs, from the simulation experiment, performance data for the selected vehicular application in the edge-computing deployment.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: February 21, 2023
    Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Haoxin Wang, BaekGyu Kim
  • Publication number: 20230032183
    Abstract: System, methods, and other embodiments described herein relate to selecting servers and allocating resources concurrently for offloading computing tasks from vehicles. In one embodiment, a method includes acquiring characteristics of a vehicle and a server for an offloading request, wherein the offloading request is associated with a computing task of the vehicle. The method also includes, upon satisfying criteria for optimization associated with executing the computing task remotely, determining server selection and resource allocation by processing the characteristics using modeling. The method also includes communicating the server selection and the resource allocation to the vehicle.
    Type: Application
    Filed: July 29, 2021
    Publication date: February 2, 2023
    Inventors: Yuhan Kang, Haoxin Wang, BaekGyu Kim
  • Publication number: 20230035297
    Abstract: A system for coordinating data offloading includes a controller. The controller is configured to at least receive a set of data metrics corresponding to a set of vehicles, generate a set of vehicle clusters based on the set of data metrics, determine a thread distribution based on the set of vehicle clusters, and transmit a data offloading control signal to each of the set of vehicles according to the thread distribution.
    Type: Application
    Filed: August 2, 2021
    Publication date: February 2, 2023
    Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Yuhan Kang, Haoxin Wang, BaekGyu Kim
  • Publication number: 20220391634
    Abstract: Systems and methods for scheduling environment perception-based data offloading for numerous connected vehicles are disclosed. In one embodiment, a method for offloading data includes capturing an image of a view of interest from a vehicle, segmenting the image into a plurality of blocks, and determining a scheduling priority for each of one or more blocks among the plurality of blocks based on block values, wherein the block values relate to one or more objects of interest contained in each of the one or more blocks. The method further includes offloading, from the vehicle to a server, one or more blocks based on the scheduling priority of the one or more blocks.
    Type: Application
    Filed: June 4, 2021
    Publication date: December 8, 2022
    Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Haoxin Wang, Akila C. Ganlath, Nejib Ammar, Onur Altintas, Prashant Tiwari, Takayuki Shimizu, BaekGyu Kim
  • Patent number: 11427215
    Abstract: Systems and methods described herein relate to generating a task offloading strategy for a vehicular edge-computing environment. One embodiment simulates a vehicular edge-computing environment in which one or more vehicles perform computational tasks whose data is partitioned into segments and performs, for each of a plurality of segments, a Deep Reinforcement Learning (DRL) training procedure that includes receiving state-space information regarding the one or more vehicles and one or more intermediate network nodes; inputting the state-space information to a policy network; generating, from the policy network, an action concerning a current segment; and assigning a reward to the policy network for the action in accordance with a predetermined reward function. This embodiment produces, via the DRL training procedure, a trained policy network embodying an offloading strategy for segmentation offloading of computational tasks from vehicles to one or more of an edge server and a cloud server.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: August 30, 2022
    Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Haoxin Wang, BaekGyu Kim
  • Publication number: 20220032933
    Abstract: Systems and methods described herein relate to generating a task offloading strategy for a vehicular edge-computing environment. One embodiment simulates a vehicular edge-computing environment in which one or more vehicles perform computational tasks whose data is partitioned into segments and performs, for each of a plurality of segments, a Deep Reinforcement Learning (DRL) training procedure that includes receiving state-space information regarding the one or more vehicles and one or more intermediate network nodes; inputting the state-space information to a policy network; generating, from the policy network, an action concerning a current segment; and assigning a reward to the policy network for the action in accordance with a predetermined reward function. This embodiment produces, via the DRL training procedure, a trained policy network embodying an offloading strategy for segmentation offloading of computational tasks from vehicles to one or more of an edge server and a cloud server.
    Type: Application
    Filed: July 31, 2020
    Publication date: February 3, 2022
    Inventors: Haoxin Wang, BaekGyu Kim
  • Publication number: 20220034670
    Abstract: Systems and methods described herein relate to simulating edge-computing deployment in diverse terrains. One embodiment receives a layer-selection input specifying which layers among a plurality of layers in a simulation model of an edge-computing deployment are to be included in a simulation experiment; receives a set of input parameters for each of the layers specified by the layer-selection input, the set of input parameters for one of the layers specified by the layer-selection input including selection of a vehicular application whose performance in the edge-computing deployment is to be evaluated via the simulation experiment; executes the simulation experiment in accordance with the layer-selection input and the set of input parameters for each of the layers specified by the layer-selection input; and outputs, from the simulation experiment, performance data for the selected vehicular application in the edge-computing deployment.
    Type: Application
    Filed: July 31, 2020
    Publication date: February 3, 2022
    Inventors: Haoxin Wang, BaekGyu Kim
  • Publication number: 20220028185
    Abstract: System, methods, and other embodiments described herein relate to improving scheduling tasks within an edge-computing environment. In one embodiment, a method includes, upon establishing a communication connection with a vehicle by an edge device of the edge-computing environment, collecting offloading information about the vehicle including task information describing at least a vehicle task that is to be offloaded to the edge device and context information about aspects relating to operation of the vehicle. The method includes triggering offloading of the vehicle task to the edge device in response to determining that at least the context information satisfies a scheduling threshold. The method includes providing, by the edge device, a result of executing the vehicle task to the vehicle.
    Type: Application
    Filed: July 27, 2020
    Publication date: January 27, 2022
    Inventors: Haoxin Wang, BaekGyu Kim