公开(公告)号：WO2018212395A1

公开(公告)日：2018-11-22

申请号：PCT/KR2017/005881

申请日：2017-06-07

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： SHIM, Young Bo ,  MOON, Yeon Kug

IPC: G01S7/481 ,  G02B13/00 ,  G02B5/02

Abstract: Disclosed is a lidar deviceincluding a transmission unit configured to emit a first signal, which is an optical signal; a first lens unit configured to convert the first signal into parallel light; a reflection unit configured to adjust a direction of the converted first signal; a second lens unit configured to enable the first signal to have the same focal plane even when a reflection angle of the reflection unit changes; a third lens unit configured to convert the first signal passing through the second lens unit into parallel light; a fourth lens unit configured to increase an angle of the first signal passing through the third lens unit; and a reception unit configured to receive a second signal, which is light reflected by an object after passing through the fourth lens unit.

公开(公告)号：EP4379644A1

公开(公告)日：2024-06-05

申请号：EP22216701.7

申请日：2022-12-27

Applicant: Korea Electronics Technology Institute

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

IPC: G06Q50/30

CPC classification number: G06Q50/40

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：EP4336367A1

公开(公告)日：2024-03-13

申请号：EP23168629.6

申请日：2023-04-19

Applicant: Korea Electronics Technology Institute

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

IPC: G06F11/36

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：EP4386561A1

公开(公告)日：2024-06-19

申请号：EP23209401.1

申请日：2023-11-13

Applicant: Korea Electronics Technology Institute

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

IPC: G06F11/36 ,  G05B23/00 ,  G05D1/00 ,  G01S7/40 ,  G06V10/774

CPC classification number: G06F11/3668 ,  G01S17/006 ,  G06V10/774 ,  G06F11/3664 ,  G01S7/4052 ,  G05B23/0237

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.