Patents by Inventor Xiangru HUANG

Xiangru HUANG 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).

  • REPRESENTATION LEARNING FOR OBJECT DETECTION FROM UNLABELED POINT CLOUD SEQUENCES
    Publication number: 20240010225
    Abstract: A method of representation learning for object detection from unlabeled point cloud sequences is described. The method includes detecting moving object traces from temporally-ordered, unlabeled point cloud sequences. The method also includes extracting a set of moving objects based on the moving object traces detected from the sequence of temporally-ordered, unlabeled point cloud sequences. The method further includes classifying the set of moving objects extracted from on the moving object traces detected from the sequence of temporally-ordered, unlabeled point cloud sequences. The method also includes estimating 3D bounding boxes for the set of moving objects based on the classifying of the set of moving objects.
    Type: Application
    Filed: July 7, 2022
    Publication date: January 11, 2024
    Applicants: TOYOTA RESEARCH INSTITUTE, INC., TOYOTA JIDOSHA KABUSHIKI KAISHA, MASSACHUSETTS INSTITUE OF TECHNOLOGY
    Inventors: Xiangru HUANG, Yue WANG, Vitor GUIZILINI, Rares Andrei AMBRUS, Adrien David GAIDON, Justin SOLOMON