Výsledky vyhledávání - "Zhang Jinchang"

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Underground Mapping and Localization Based on Ground-Penetrating Radar

Autor: Zhang, Jinchang, Lu, Guoyu

3D object reconstruction based on deep neural networks has gained increasing attention in recent years. However, 3D reconstruction of underground objects to generate point cloud maps remains a challenge. Ground Penetrating Radar (GPR) is one of the m

Externí odkaz: http://arxiv.org/abs/2409.16446

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Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus

Autor: Zhang, Jinchang, Xu, Ningning, Zhang, Hao, Lu, Guoyu

Depth estimation is a fundamental task in 3D geometry. While stereo depth estimation can be achieved through triangulation methods, it is not as straightforward for monocular methods, which require the integration of global and local information. The

Externí odkaz: http://arxiv.org/abs/2409.12323

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Embodiment: Self-Supervised Depth Estimation Based on Camera Models

Autor: Zhang, Jinchang, Reddy, Praveen Kumar, Wong, Xue-Iuan, Aloimonos, Yiannis, Lu, Guoyu

Depth estimation is a critical topic for robotics and vision-related tasks. In monocular depth estimation, in comparison with supervised learning that requires expensive ground truth labeling, self-supervised methods possess great potential due to no

Externí odkaz: http://arxiv.org/abs/2408.01565

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Akademický článek

Study on the Meshing Performance of a Spur Gear Pair with Parametric Modification

Autor: Shen Xingquan, Zhang Jinchang, Chen Zhenya

Publikováno v: Jixie chuandong, Vol 43, Pp 54-59 (2019)

The modification design based on parametric gear model can improve the meshing performance rapidly and effectively. Parametric tooth profile and tooth helix modification of the fully parametric spur gear are carried out in the UG. The finite element

Externí odkaz: https://doaj.org/article/be95342d48a443cfa21ba7a245897d0f