2024
DOI: 10.1016/j.eswa.2023.122331
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Self-training based augmented reality for robust 3D object registration and task assistance

Kyeong-Beom Park,
Sung Ho Choi,
Jae Yeol Lee
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Cited by 10 publications
(2 citation statements)
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References 26 publications
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“…In a study by Bu ń et al [73], the potential of AR devices for remote support in manufacturing was investigated. In their study, Park et al [97] employed AR in the context of task support, utilising advanced techniques such as 3D spatial mapping and RGB-D data, which resulted in fast and accurate real-time responses. Dong et al [64] developed an AR system for manufacturing assistance, which offered dynamic feedback and gesture prediction.…”
Section: Ar Virtual Operation Guidementioning
confidence: 99%
“…In a study by Bu ń et al [73], the potential of AR devices for remote support in manufacturing was investigated. In their study, Park et al [97] employed AR in the context of task support, utilising advanced techniques such as 3D spatial mapping and RGB-D data, which resulted in fast and accurate real-time responses. Dong et al [64] developed an AR system for manufacturing assistance, which offered dynamic feedback and gesture prediction.…”
Section: Ar Virtual Operation Guidementioning
confidence: 99%
“…Works such as that of Park et al [92] conduct heuristic and comparative evaluations to determine the practical benefits of AR, such as improved work accuracy and reduced errors. The use of synthetic data and deep learning for object detection, followed by a self-training approach [134], exemplifies the innovation in AR experimentation and shows the potential of AR to improve the registration and interaction of real objects, thus comparing the capabilities of AR with traditional methods.…”
mentioning
confidence: 99%