Work

Efficient Monocular Depth-Based Physical Distance Measurement for Low-Depth Scales

Year: 2025

Type: article

Source: IEEE Transactions on Industrial Informatics

DOI: 10.1109/tii.2025.3598456

Authors: Jincheol Yang, Matti Zinke, Beoungwoo Kang, Hyung Uk Cho, Hyunyoung Choi, SangGu Lee, Suk-Ju Kang

Institutions: Sogang University, Hyundai Mobis (South Korea), Samsung (South Korea), Samsung Display (South Korea)

Language: English

Topic: Advanced Vision and Imaging

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Samsung

Award: G185534835

OpenAlex ID: W4414007973

FWCI:

Cites: 30

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Related to: 10