Patents by Inventor Donghao Zhou

Donghao Zhou 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).

  • Hybrid traffic flow motion behavior modeling method based on inference graph
    Patent number: 12026442
    Abstract: The disclosed relates to a hybrid traffic flow motion behavior modeling method based on an inference graph, wherein the method comprises: obtaining scene information, representing all traffic participants in the scene as vertices, and using directed edges to represent interaction relationships among traffic participants, so as to obtain the interaction graph; obtaining all possible interaction situations according to the interaction graph; based on each possible interaction situation, estimating the trajectory of each traffic participant in the interaction situation, and judging whether the trajectory conforms to a preset empirical decision-making criteria, so as to judge rationality of the interaction situation; and judging the rationality of all possible interaction situations obtained in the interaction situation generation step in turn until an interaction situation satisfying the rationality is found, and taking a trajectory of each traffic participant corresponding to the interaction situation as a fina
    Type: Grant
    Filed: May 31, 2023
    Date of Patent: July 2, 2024
    Assignee: TONGJI UNIVERSITY
    Inventors: Jian Sun, Donghao Zhou, Ying Ni
  • HYBRID TRAFFIC FLOW MOTION BEHAVIOR MODELING METHOD BASED ON INFERENCE GRAPH
    Publication number: 20230385487
    Abstract: The disclosed relates to a hybrid traffic flow motion behavior modeling method based on an inference graph, wherein the method comprises: obtaining scene information, representing all traffic participants in the scene as vertices, and using directed edges to represent interaction relationships among traffic participants, so as to obtain the interaction graph; obtaining all possible interaction situations according to the interaction graph; based on each possible interaction situation, estimating the trajectory of each traffic participant in the interaction situation, and judging whether the trajectory conforms to a preset empirical decision-making criteria, so as to judge rationality of the interaction situation; and judging the rationality of all possible interaction situations obtained in the interaction situation generation step in turn until an interaction situation satisfying the rationality is found, and taking a trajectory of each traffic participant corresponding to the interaction situation as a fina
    Type: Application
    Filed: May 31, 2023
    Publication date: November 30, 2023
    Applicant: TONGJI UNIVERSITY
    Inventors: Jian Sun, Donghao Zhou, Ying Ni