Patents by Inventor Rongchuan SUN

Rongchuan SUN 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: 11906977
    Abstract: The present invention discloses a path planning method, including the following steps: establishing an empirical map and a corresponding episodic cognitive map using a RatSLAM algorithm based on an episodic memory model; extracting a road edge in a historical memory image with a Canny operator; performing conversion to a world coordinate system from a pixel coordinate system based on the road edge, and preliminarily judging connectivity according to slope of the road edge; continuously injecting energy into the potential path detection network according to continuous observation of a potential path, so as to further judge the road connectivity; fusing the detected potential path and the original episodic cognitive map, and correspondingly updating the empirical map; and planning a path based on the updated episodic cognitive map. The potential safe path in an environment may be detected, and a better path may be planned based on the updated episodic memory model.
    Type: Grant
    Filed: May 7, 2022
    Date of Patent: February 20, 2024
    Assignee: SOOCHOW UNIVERSITY
    Inventors: Rongchuan Sun, Junyi Wu, Shumei Yu, Guodong Chen, Lining Sun
  • Publication number: 20230195134
    Abstract: The present invention discloses a path planning method, including the following steps: establishing an empirical map and a corresponding episodic cognitive map using a RatSLAM algorithm based on an episodic memory model; extracting a road edge in a historical memory image with a Canny operator; performing conversion to a world coordinate system from a pixel coordinate system based on the road edge, and preliminarily judging connectivity according to slope of the road edge; continuously injecting energy into the potential path detection network according to continuous observation of a potential path, so as to further judge the road connectivity; fusing the detected potential path and the original episodic cognitive map, and correspondingly updating the empirical map; and planning a path based on the updated episodic cognitive map. The potential safe path in an environment may be detected, and a better path may be planned based on the updated episodic memory model.
    Type: Application
    Filed: May 7, 2022
    Publication date: June 22, 2023
    Inventors: Rongchuan SUN, Junyi WU, Shumei YU, Guodong CHEN, Lining SUN
  • Patent number: 11373367
    Abstract: A method for characterization of respiratory characteristics based on a voxel model includes: successively capturing multiple frames of depth image of a thoracoabdominal surface of human body and modelling the multiple frames of depth image in 3D to obtain multiple frames of voxel model in time series; traversing voxel units of the multiple frames of voxel model and extracting a volumetric characteristic and areal characteristic of the multiple frames of voxel model; acquiring a minimum common voxel bounding box of the multiple frames of voxel model; describing spatial distribution of the multiple frames of voxel model in the form of probability and arranging the probabilities of the minimum voxel bounding boxes of individual frames of voxel model to construct a sample space of super-high dimensional vectors; reducing the dimensions of the sample space to obtain intrinsic parameters; obtaining a characteristic variable capable of characterizing the voxel model.
    Type: Grant
    Filed: November 20, 2019
    Date of Patent: June 28, 2022
    Assignee: SOOCHOW UNIVERSITY
    Inventors: Shumei Yu, Pengcheng Hou, Rongchuan Sun, Shaolong Kuang, Lining Sun
  • Publication number: 20210375037
    Abstract: A method for characterization of respiratory characteristics based on a voxel model includes: successively capturing multiple frames of depth image of a thoracoabdominal surface of human body and modelling the multiple frames of depth image in 3D to obtain multiple frames of voxel model in time series; traversing voxel units of the multiple frames of voxel model and extracting a volumetric characteristic and areal characteristic of the multiple frames of voxel model; acquiring a minimum common voxel bounding box of the multiple frames of voxel model; describing spatial distribution of the multiple frames of voxel model in the form of probability and arranging the probabilities of the minimum voxel bounding boxes of individual frames of voxel model to construct a sample space of super-high dimensional vectors; reducing the dimensions of the sample space to obtain intrinsic parameters; obtaining a characteristic variable capable of characterizing the voxel model.
    Type: Application
    Filed: November 20, 2019
    Publication date: December 2, 2021
    Inventors: Shumei YU, Pengcheng HOU, Rongchuan SUN, Shaolong KUANG, Lining SUN