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公开(公告)号:US20250069257A1
公开(公告)日:2025-02-27
申请号:US18662406
申请日:2024-05-13
Applicant: Samsung Electronics Co., Ltd.
Inventor: Ho-Ik CHOI , Yonggonjong PARK , Jaewoo LEE
IPC: G06T7/73 , B60W60/00 , G06V10/762 , G06V10/774 , G06V10/776 , G06V20/58
Abstract: A processor-implemented method including determining, from a first image frame, a first amodal region including a visible region in which a static landmark is visible and an occluded region in which the static landmark is occluded, calculating an occluded region confidence information for the occluded region in the first amodal region based on the first amodal region, determining a second amodal region corresponding to the static landmark from a second image frame temporally subsequent to the first image frame, calculating transformation information between the first image frame and the second image frame based on the first amodal region, the second amodal region, and the occluded region confidence information, and calculating localization information of an electronic device comprising the processor based on the transformation information.
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公开(公告)号:US20250147169A1
公开(公告)日:2025-05-08
申请号:US18609301
申请日:2024-03-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Young Rae CHO , Seung Tae KHANG , Jong-Sok KIM , Jinyong JEON , Ho-Ik CHOI
IPC: G01S13/58 , G01S7/35 , G01S7/41 , G01S13/931
Abstract: A method of measuring a velocity vector of a target object is provided. The method includes: obtaining pieces of radar data obtained by detecting the target object; based on the pieces of radar data, extracting velocity vectors for respective points that correspond to the detected target object; and calculating the velocity vector of the target object based on the velocity vectors.
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公开(公告)号:US20240177497A1
公开(公告)日:2024-05-30
申请号:US18305802
申请日:2023-04-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Ho-Ik CHOI , Jahoo KOO , Youngwan SEO
CPC classification number: G06V20/588 , G06T7/70 , G06T2207/20081 , G06T2207/30256
Abstract: A method performed by one or more processors includes: obtaining an original intensity map including original elements having respective signal intensities with respect to a road surface, the signal intensities based on sensing of a vision sensor arranged on a moving object that is moving on a road including the road surface, wherein each of the original elements has a respective local neighborhood of neighboring original elements; generating a local intensity map by determining local values respectively corresponding to the original elements of the original intensity map, wherein the local values are determined based on the original elements in the respectively corresponding local neighborhoods; generating a normalized intensity map by normalizing the original intensity map based on the local intensity map; and recognizing the road surface based on the normalized intensity map.
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