公开(公告)号：US20240124025A1

公开(公告)日：2024-04-18

申请号：US18485607

申请日：2023-10-12

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： JinWoo KIM ,  Ki Tae KIM ,  MyongWook PARK ,  Yoo-Seung SONG ,  KYOUNG HWAN AN ,  Shin Kyung LEE

IPC: B60W60/00 ,  G08G1/01 ,  G08G1/017 ,  G08G1/16

CPC classification number: B60W60/0016 ,  B60W60/00272 ,  G08G1/0112 ,  G08G1/0175 ,  G08G1/161 ,  B60W2420/42 ,  B60W2554/80 ,  B60W2556/65

Abstract: The present disclosure relates to a defensive driving vehicles interaction system (D2VIS), and to an autonomous driving predictive defensive driving system through an interaction based on forward vehicle driving and situation judgement information and a method thereof. An autonomous driving predictive defensive driving system through an interaction based on forward vehicle driving and situation judgement information according to the present disclosure includes an inter-vehicle distance recognition unit configured to recognize a distance between a surrounding vehicle and an ego vehicle, a situation recognition unit configured to recognize situation information including surrounding information of the surrounding vehicle, and a driving situation response determination unit configured to share data for determining a defensive driving action by using the situation information.

公开(公告)号：US20240087225A1

公开(公告)日：2024-03-14

申请号：US18367590

申请日：2023-09-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： JinWoo KIM ,  Ki Tae KIM ,  MyungWook PARK ,  Kyoung Hwan AN ,  Jeong Dan CHOI

IPC: G06T17/05 ,  G06T3/00 ,  G06T7/20 ,  G06T7/50 ,  G06V10/44 ,  G06V20/52 ,  G06V20/58

CPC classification number: G06T17/05 ,  G06T3/0093 ,  G06T7/20 ,  G06T7/50 ,  G06V10/44 ,  G06V20/52 ,  G06V20/58 ,  G06T2207/10028 ,  G06V2201/07

Abstract: The interaction system includes: an infrastructure image sensor-based 3D cloud restoration module configured to create a 3D cloud point using a multi-view image received from an infrastructure sensor; a real-time 3D map creation and learning update module configured to generate subset data composed of point clouds into a 3D map using 3D point information received from the infrastructure image sensor-based 3D cloud restoration module; an object estimation module in a 3D space configured to recognize and track an object existing in a 3D space based on the 3D map received from the real-time 3D map creation and learning update module; and a dangerous situation recognition and interaction module in space configured to receive information on an object existing in the 3D space from the object estimation module in the 3D space, recognize a dangerous situation, and provide dangerous situation related information.