Patents by Inventor Seng Tae Baik

Seng Tae Baik 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).

  • System for warning about intersection danger based on situation prediction
    Patent number: 11355014
    Abstract: Provided is a system for warning about intersection danger on the basis of behavior prediction. The system includes a sensor for detecting and predicting actions of surrounding objects, such as vehicles and pedestrians, and a function of providing an alarm feedback and can perform independent computation due to a separate processor installed therein for edge computing.
    Type: Grant
    Filed: September 24, 2021
    Date of Patent: June 7, 2022
    Assignee: BLUESIGNAL CORPORATION
    Inventor: Seng Tae Baik
  • SYSTEM FOR WARNING ABOUT INTERSECTION DANGER BASED ON SITUATION PREDICTION
    Publication number: 20220172626
    Abstract: Provided is a system for warning about intersection danger on the basis of behavior prediction. The system includes a sensor for detecting and predicting actions of surrounding objects, such as vehicles and pedestrians, and a function of providing an alarm feedback and can perform independent computation due to a separate processor installed therein for edge computing.
    Type: Application
    Filed: September 24, 2021
    Publication date: June 2, 2022
    Inventor: Seng Tae BAIK
  • Method of predicting traffic congestion and controlling traffic signals based on deep learning and server for performing the same
    Patent number: 10902719
    Abstract: A method of predicting traffic congestion and controlling traffic signals based on deep learning according to an embodiment of the present invention includes: analyzing regional network outflow behavior based on a per-intersection traffic demand pattern or traffic signal control, and determining a specific intersection to be a control target intersection based on the results of the analysis; generating 2D space-time images by analyzing the data of predetermined customized composite data corresponding to the control target intersection and a plurality of pieces of image data for the control target intersection in terms of time and space; generating a real-time traffic congestion index by using the 2D space-time image of the control target intersection and the 2D space-time image of the data of the customized composite data corresponding to the control target intersection; and controlling the traffic signals of the control target intersection based on the real-time traffic congestion index.
    Type: Grant
    Filed: November 12, 2018
    Date of Patent: January 26, 2021
    Assignee: BLUESIGNAL CORPORATION
    Inventor: Seng Tae Baik
  • METHOD OF PREDICTING TRAFFIC CONGESTION AND CONTROLLING TRAFFIC SIGNALS BASED ON DEEP LEARNING AND SERVER FOR PERFORMING THE SAME
    Publication number: 20200135018
    Abstract: A method of predicting traffic congestion and controlling traffic signals based on deep learning according to an embodiment of the present invention includes: analyzing regional network outflow behavior based on a per-intersection traffic demand pattern or traffic signal control, and determining a specific intersection to be a control target intersection based on the results of the analysis; generating 2D space-time images by analyzing the data of predetermined customized composite data corresponding to the control target intersection and a plurality of pieces of image data for the control target intersection in terms of time and space; generating a real-time traffic congestion index by using the 2D space-time image of the control target intersection and the 2D space-time image of the data of the customized composite data corresponding to the control target intersection; and controlling the traffic signals of the control target intersection based on the real-time traffic congestion index.
    Type: Application
    Filed: November 12, 2018
    Publication date: April 30, 2020
    Inventor: Seng Tae BAIK
  • System for forecasting traffic condition pattern by analysis of traffic data and forecasting method thereof
    Patent number: 10475336
    Abstract: The present invention relates to a system for forecasting the traffic condition pattern by an analysis of traffic data.
    Type: Grant
    Filed: December 4, 2017
    Date of Patent: November 12, 2019
    Assignee: BLUESIGNAL CORPORATION
    Inventor: Seng Tae Baik
  • SYSTEM FOR FORECASTING TRAFFIC CONDITION PATTERN BY ANALYSIS OF TRAFFIC DATA AND FORECASTING METHOD THEREOF
    Publication number: 20190172344
    Abstract: The present invention relates to a system for forecasting the traffic condition pattern by an analysis of traffic data.
    Type: Application
    Filed: December 4, 2017
    Publication date: June 6, 2019
    Applicant: BLUESIGNAL CORPORATION
    Inventor: Seng Tae Baik