2023
DOI: 10.1016/j.measurement.2023.112509
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Fast safety distance warning framework for proximity detection based on oriented object detection and pinhole model

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Cited by 5 publications
(5 citation statements)
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“…In this paper, two approaches for distance estimation using the pinhole camera model are evaluated in a real-world application in a maritime environment. Existing studies evaluated the pinhole camera model across various distances; distances up to 5 m are evaluated in [6,7,13,15,18], up to 15.5 m in [6], up to 30 m in [14], and up to 96 m in [5]. In contrast, our research extends this validation to distances up to 414 m. Additionally, the literature review suggests that the expected estimation error of the pinhole camera model ranges from under 10% [5,7], to 17% [6], and up to 20% [7].…”
Section: Discussionmentioning
confidence: 99%
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“…In this paper, two approaches for distance estimation using the pinhole camera model are evaluated in a real-world application in a maritime environment. Existing studies evaluated the pinhole camera model across various distances; distances up to 5 m are evaluated in [6,7,13,15,18], up to 15.5 m in [6], up to 30 m in [14], and up to 96 m in [5]. In contrast, our research extends this validation to distances up to 414 m. Additionally, the literature review suggests that the expected estimation error of the pinhole camera model ranges from under 10% [5,7], to 17% [6], and up to 20% [7].…”
Section: Discussionmentioning
confidence: 99%
“…Prior to distance estimation, there were two main approaches for object detection in the literature: traditional machine learning techniques [10,13,15], and neural network methods [3,6,7,[16][17][18]. The results indicate that the accuracy of distance estimation is closely related to the quality of the detection results.…”
Section: Related Workmentioning
confidence: 99%
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“…Shin et al [54] trained the YOLOv3 model to detect workers and trucks and calculated the collision proximity to avoid struck-by accidents. Li et al [55] detected person, PPEs, and electric work equipment, and calculated the safe distance between person/worker and electric equipment.…”
Section: Object Detectionmentioning
confidence: 99%
“…In recent years, defect detection technology based on visual processing is mainly divided into traditional image processing [4][5][6][7] and deep learning [8][9][10][11][12][13]. The former methods need to extract the manual features, which are designed by experts and used as input of machine learning algorithms for defect classification.…”
Section: Introductionmentioning
confidence: 99%