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.

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。

公开(公告)号：US20140354688A1

公开(公告)日：2014-12-04

申请号：US14066812

申请日：2013-10-30

Applicant: Korea Electronics Technology Institute

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

IPC: G06T19/00 ,  G06F3/01

CPC classification number: G06T19/006 ,  G06F3/013

Abstract: Provided are an apparatus and method for providing augmented reality information using a glasses-type wearable device or head mount display. The present invention may provide augmented reality information generated by overlaying POI information in a gaze direction of a user on an image in the direction. Also, the present invention may compare main POI with an object in the image to adjust position information of the user when providing the augmented reality information, thereby providing the augmented reality information having high visibility and accuracy, with the size of UI being adjusted according to the distance from the user. The present invention may allow the user to designate an object in the image by a 3D pointing operation of the user, thereby displaying more precise augmented reality information.

Abstract translation: 提供了一种使用眼镜式可穿戴装置或头戴式显示器来提供增强现实信息的装置和方法。 本发明可以提供通过在方向上的图像的用户的注视方向上重叠POI信息而生成的增强现实信息。 此外，本发明可以将主要POI与图像中的对象进行比较，以在提供增强现实信息时调整用户的位置信息，从而提供具有高可见性和准确性的增强现实信息，其中UI的大小根据 与用户的距离。 本发明可以允许用户通过用户的3D指向操作来指定图像中的对象，从而显示更精确的增强现实信息。

公开(公告)号：US20240184787A1

公开(公告)日：2024-06-06

申请号：US18089674

申请日：2022-12-28

Applicant: Korea Electronics Technology Institute

Inventor： Chang Gue PARK ,  Kyoung Won MIN ,  Haeng Seon SON ,  Seon Young LEE ,  Young Bo SHIM ,  Gi Ho SUNG ,  Jin Man PARK ,  Yeong Kwon CHOE

IPC: G06F16/2457 ,  G07C5/08

CPC classification number: G06F16/24575 ,  G07C5/085

Abstract: There are provided a scenario similarity retrieval-based automatic scenario generation system and method. According to an embodiment, a scenario retrieval-based automatic scenario generation method includes: retrieving scenarios similar to a query scenario from a scenario DB for an autonomous driving test; filtering only scenarios that meet a selection condition from the retrieved scenarios; and converting components of the filtered scenarios to suit a target condition. Accordingly, a desired scenario may be automatically generated by retrieving a scenario similar to a targeted scenario, converting the retrieved scenario, and concretizing the scenario.

公开(公告)号：US20230311867A1

公开(公告)日：2023-10-05

申请号：US17623117

申请日：2020-11-30

Applicant: Korea Electronics Technology Institute

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

IPC: B60W30/10 ,  B60W60/00 ,  G06V20/56 ,  G06V10/30

CPC classification number: B60W30/10 ,  B60W60/001 ,  G06V10/30 ,  G06V20/588

Abstract: Provided is a method for filtering driving paths in order to stably track a path which is generated for various purposes, such as recognizing a lane and keeping or changing the lane, or avoiding an obstacle around a road. A driving path filtering system according to an embodiment of the present disclosure includes: a position recognition unit configured to recognize a position of a vehicle; a lane recognition unit configured to recognize a lane of a road; and a path generator configured to generate a path for the vehicle to travel on, based on a result of recognizing the position and a result of recognizing the lane, and to perform path noise filtering with respect to the generated path. Accordingly, a driving path can be stabilized by removing a path noise (error) by complementally filtering a lane recognition-based path generation method and a map-based path generation method according to a driving environment.

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.

公开(公告)号：US20230194722A1

公开(公告)日：2023-06-22

申请号：US18083868

申请日：2022-12-19

Applicant: Korea Electronics Technology Institute

Inventor： Haeng Seon SON ,  Kyoung Won MIN ,  Seon Young LEE ,  Jin Man PARK ,  Young Bo SHIM ,  Chang Gue PARK ,  Gi Ho SUNG ,  Yeong Kwon CHOE

IPC: G01S17/89 ,  G01S7/4861

CPC classification number: G01S17/89 ,  G01S7/4861

Abstract: There are provided an apparatus and a method for LiDAR data conversion for training various types of autonomous vehicles by using pre-acquired data. A method for converting LiDAR data according to an embodiment includes: receiving an input of first LiDAR data which is pre-acquired through a first LiDAR sensor mounted in a first vehicle; converting the inputted first LiDAR data into second LiDAR data which is acquired through a second LiDAR sensor mounted in a second vehicle; and outputting the converted second LiDAR data, and converting includes converting the first LiDAR data into LiDAR data on a reference coordinate system, and converting the converted LiDAR data into the second LiDAR data which is LiDAR data on a coordinate system of the second LiDAR sensor.

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.

公开(公告)号：US20240193783A1

公开(公告)日：2024-06-13

申请号：US18530706

申请日：2023-12-06

Applicant: Korea Electronics Technology Institute

Inventor： Jin Man PARK ,  Haeng Seon SON ,  Kyoung Won MIN ,  Seon Young LEE ,  Young Bo SHIM ,  Gi Ho SUNG

IPC: G06T7/11

CPC classification number: G06T7/11 ,  G06T2207/10028

Abstract: There are a method and a system for extracting a region of interest in an image obtained through a high-resolution camera installed in an autonomous vehicle. The method for extracting the region of interest based on a drivable region in the high-resolution camera includes a step of acquiring an image through the high-resolution camera; and a step of extracting, by a processor, a region of interest within the acquired image by using 3D drivable region information. Accordingly, far-distance information extraction performance may be enhanced, and all of the functions of a set of a wide angle camera and a narrow angle camera of HD may be performed only with one FHD or UHD wide angle camera, so that the number of sensors may be reduced and a production cost may be reduced.

公开(公告)号：US20230196841A1

公开(公告)日：2023-06-22

申请号：US18073058

申请日：2022-12-01

Applicant: Korea Electronics Technology Institute

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

IPC: G06V40/20 ,  G06V10/40 ,  G06V10/22

CPC classification number: G06V40/28 ,  G06V10/22 ,  G06V10/40

Abstract: There are provided a behavior recognition method for efficient recognition of hand signals and gesture and a behavior recognition AI network system using the same. The behavior recognition method for efficient recognition of hand signals and gestures according to an embodiment includes: an input feature extraction step of extracting, by a behavior recognition AI network system, key points F1 from bounding box data of an object which makes hand signals to be inputted by sequence, and generating skeleton data of the object; and a spatial feature extraction step of calculating, by the behavior recognition AI network system, a length F2 and an angle F3 of a bone vector based on the key points F1 and the skeleton data, and extracting a spatial feature. Accordingly, performance of recognition of hand signals and gestures may be enhanced.