知搜-全球专利检索

  1. Login
  2. Sign Up

Search Results

12 records (took 0.016 seconds)

    GLASSES TYPE DEVICE WITH OPERATING MEANS ON RIM AND USER INPUT METHOD USING THE SAME
    1.
    发明申请
    GLASSES TYPE DEVICE WITH OPERATING MEANS ON RIM AND USER INPUT METHOD USING THE SAME 审中-公开
    具有操作手段的玻璃类型装置和使用它的用户输入方法

    公开(公告)号：US20150186033A1

    公开(公告)日：2015-07-02

    申请号：US14583881

    申请日：2014-12-29

    Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

    Inventor： Kyoung Won MIN ,  Haeng Seon SON ,  Seon Young LEE

    IPC: G06F3/0488 ,  G02B27/01 ,  G06F3/041

    CPC classification number: G06F3/04883 ,  G02B27/017 ,  G02B2027/014 ,  G02B2027/0178 ,  G06F3/041 ,  G06F2203/0339 ,  G06F2203/04808

    Abstract: A glasses type device with an operating means on a rim and a user input method using the same are provided. The glasses type device includes: a touch sensor provided on a rim of a frame of a glasses shape; and a processor configured to process a user operation which is input through the touch sensor. Accordingly, the touch sensors for inputting a user operation are located on the rim of the glasses frame for fixing lenses, so that intuitive various user operations can be performed.

    Abstract translation: 提供了一种具有边缘上的操作装置的眼镜型装置和使用其的用户输入方法。 眼镜型装置包括：设置在眼镜框架的边缘上的触摸传感器; 以及处理器，被配置为处理通过所述触摸传感器输入的用户操作。 因此，用于输入用户操作的触摸传感器位于用于固定透镜的眼镜架的边缘上，从而可以执行直观的各种用户操作。

    METHOD AND SYSTEM FOR GENERATING AI TRAINING HIERARCHICAL DATASET INCLUDING DATA ACQUISITION CONTEXT INFORMATION
    2.
    发明公开
    METHOD AND SYSTEM FOR GENERATING AI TRAINING HIERARCHICAL DATASET INCLUDING DATA ACQUISITION CONTEXT INFORMATION 审中-公开

    公开(公告)号：US20240005197A1

    公开(公告)日：2024-01-04

    申请号：US17623132

    申请日：2020-12-29

    Applicant: Korea Electronics Technology Institute

    Inventor： Kyoung Won MIN ,  Haeng Seon SON ,  Seon Young LEE ,  Young Bo SHIM ,  Chang Gue PARK

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: Provided are a method and a system for generating an AI training hierarchical dataset including data acquisition context information. A GT dataset generation method according to an embodiment of the present disclosure includes: acquiring and storing vehicle data; acquiring and storing sensor data generated at a sensor installed in a vehicle; and generating and storing context information which is information regarding a context at a time when the data is acquired. Accordingly, in generating a GT descriptor, various contexts, conditions at the time when data is acquired may be made to be easily analyzed, classified on the GT descriptor through a hierarchical dataset, which hierarchically describes context information at the time when sensor data is acquired on the descriptor, so that an AI network is effectively trained, and eventually, has high recognition performance.

    TRAFFIC SIMULATION METHOD FOR CREATING AN OPTIMIZED OBJECT MOTION PATH IN THE SIMULATOR
    4.
    发明公开
    TRAFFIC SIMULATION METHOD FOR CREATING AN OPTIMIZED OBJECT MOTION PATH IN THE SIMULATOR 审中-公开

    公开(公告)号：US20230169228A1

    公开(公告)日：2023-06-01

    申请号：US17779606

    申请日：2020-11-25

    Applicant: Korea Electronics Technology Institute

    Inventor： Seon Young LEE ,  Kyoung Won MIN ,  Haeng Seon SON ,  Young Bo SHIM ,  Yun Jeong KIM

    IPC: G06F30/20

    CPC classification number: G06F30/20 ,  G06F2111/20

    Abstract: Provided is a traffic simulation for controlling a motion of an object, such as a vehicle, a pedestrian moving on a road or a pavement, in a driving simulation, an autonomous driving simulation, or the like. A traffic simulation method according to an embodiment of the present disclosure includes the steps of: importing a new moving object into a simulation environment of a simulator; retrieving data of a moving path and a start point of the moving object which is created based on a function, among pre-stored data; calculating 3D coordinates regarding a position of the moving object; moving the moving object along the moving path in the simulation environment, based on the calculated 3D coordinates; and calculating a next position of the moving object. Accordingly, a motion of an object within a simulator may be precisely created and reliability of validation regarding an operation of an algorithm mounted in an autonomous driving vehicle may be enhanced.

    ACCELERATED PROCESSING METHOD FOR DEEP LEARNING BASED-PANOPTIC SEGMENTATION USING A RPN SKIP BASED ON COMPLEXITY
    7.
    发明公开
    ACCELERATED PROCESSING METHOD FOR DEEP LEARNING BASED-PANOPTIC SEGMENTATION USING A RPN SKIP BASED ON COMPLEXITY 审中-公开

    公开(公告)号：US20230252755A1

    公开(公告)日：2023-08-10

    申请号：US17623067

    申请日：2020-11-25

    Applicant: Korea Electronics Technology Institute

    Inventor： Kyoung Won MIN ,  Ganzorig Gankhuyag ,  Haeng Seon SON ,  Seon Young LEE ,  Young Bo SHIM

    IPC: G06V10/26 ,  G06V10/50

    CPC classification number: G06V10/267 ,  G06V10/50

    Abstract: Provided is a deep learning-based panoptic segmentation accelerated processing technique using a complexity-based RPN skip method. An image segmentation system includes: a first processing unit configured to extract dynamic objects in an instance segmentation method by using an extracted feature; a calculation unit configured to control to skip some areas of the feature extracted at the network by the first processing unit, on the basis of complexity of the input image; a second processing unit configured to extract static objects in a semantic segmentation method by using the feature extracted at the network; and a fusion unit configured to fuse a result of extracting by the first processing unit and a result of extracting by the second processing unit. Accordingly, the panoptic segmentation method can be easily performed even in an embedded environment by reducing complexity for panoptic segmentation processing by reducing a calculation burden.

    METHOD FOR VERIFYING ACCURACY OF VIRTUAL SENSOR MODEL FOR SIMULATION BASED ON REALITY INFORMATION DATA
    9.
    发明公开
    METHOD FOR VERIFYING ACCURACY OF VIRTUAL SENSOR MODEL FOR SIMULATION BASED ON REALITY INFORMATION DATA 审中-公开

    公开(公告)号：US20240194005A1

    公开(公告)日：2024-06-13

    申请号：US18388915

    申请日：2023-11-13

    Applicant: Korea Electronics Technology Institute

    Inventor： Seonyoung LEE ,  Kyoung Won MIN ,  Haeng Seon SON ,  Youngbo SHIM ,  Giho SUNG ,  Jin-Man PARK

    IPC: G07C5/06

    CPC classification number: G07C5/06 ,  B60W60/00

    Abstract: There is a method for verifying accuracy of a virtual sensor model for simulation based on reality information data. According to an embodiment, a virtual sensor verification method may acquire information on positions and states of real vehicles which are running on a real road, may acquire real sensor data generated in real sensors of a reality information acquisition vehicle from among the real vehicles, may reproduce the real vehicles on a virtual road as virtual vehicles, based on the acquired information on the positions and states, may acquire virtual sensor data outputted from virtual sensors mounted in a virtual information acquisition vehicle from among the virtual vehicles, and may verify the virtual sensors by comparing the acquired real sensor data and the virtual sensor data. Accordingly, accuracy of virtual sensor data which is supplied to a recognition, determination, control algorithm for autonomous driving may be measured and verified, so that accuracy on a result of verifying based on a simulator of an autonomous driving algorithm may be enhanced.

Patent Agency Ranking