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：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.

公开(公告)号：US20240067208A1

公开(公告)日：2024-02-29

申请号：US18137990

申请日：2023-04-21

Applicant: Korea Electronics Technology Institute

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

IPC: B60W60/00

CPC classification number: B60W60/001 ,  B60W2554/4041

Abstract: There is provided a VIL system-based autonomous driving function verification method. According to embodiments of the disclosure, a VIL system enables an autonomous vehicle to verify an autonomous driving function by interlocking with a virtual road environment in any other place, without having to go to a real test road corresponding to a simulated virtual road environment. Accordingly, an autonomous driving function can be rapidly verified based on a VIL system with respect to various virtual road environments without changing a driving place, so that speed and convenience in development of autonomous driving technology can be enhanced.

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：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.