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pro vyhledávání: '"Dong-yue Jiang"'
Depth perception is crucial for a wide range of robotic applications. Multi-frame self-supervised depth estimation methods have gained research interest due to their ability to leverage large-scale, unlabeled real-world data. However, the self-superv
Externí odkaz:
http://arxiv.org/abs/2402.11507
Self-supervised monocular depth estimation is of significant importance with applications spanning across autonomous driving and robotics. However, the reliance on self-supervision introduces a strong static-scene assumption, thereby posing challenge
Externí odkaz:
http://arxiv.org/abs/2312.13066
The data loss caused by unreliable network seriously impacts the results of remote visual SLAM systems. From our experiment, a loss of less than 1 second of data can cause a visual SLAM algorithm to lose tracking. We present a novel buffering method,
Externí odkaz:
http://arxiv.org/abs/2010.14861
Autor:
Gui-jun Chen, Dong-yue Jiang
Publikováno v:
2011 Asia-Pacific Power and Energy Engineering Conference.
Steam pipelines play an important role in industrial enterprises. They joint the heat producer and users, and constitute the energy transmission networks. The total cost on steam pipelines include the expense of steel and heat insulator, converted ex
Autor:
Dong-yue Jiang, Gui-jun Chen
Publikováno v:
2011 Asia-Pacific Power & Energy Engineering Conference (APPEEC); 2011, p1-3, 3p