Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fu, Yuewei"'
Autor:
Wilson, Joey, Fu, Yuewei, Friesen, Joshua, Ewen, Parker, Capodieci, Andrew, Jayakumar, Paramsothy, Barton, Kira, Ghaffari, Maani
In this paper, we develop a modular neural network for real-time {\color{black}(> 10 Hz)} semantic mapping in uncertain environments, which explicitly updates per-voxel probabilistic distributions within a neural network layer. Our approach combines
Externí odkaz:
http://arxiv.org/abs/2310.16020
Autor:
Wilson, Joey, Fu, Yuewei, Zhang, Arthur, Song, Jingyu, Capodieci, Andrew, Jayakumar, Paramsothy, Barton, Kira, Ghaffari, Maani
Robotic perception is currently at a cross-roads between modern methods, which operate in an efficient latent space, and classical methods, which are mathematically founded and provide interpretable, trustworthy results. In this paper, we introduce a
Externí odkaz:
http://arxiv.org/abs/2209.10663
Autor:
Wilson, Joey, Song, Jingyu, Fu, Yuewei, Zhang, Arthur, Capodieci, Andrew, Jayakumar, Paramsothy, Barton, Kira, Ghaffari, Maani
This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes. Our data set is formed from randomly sampled views of the world at each time step, which supervises gene
Externí odkaz:
http://arxiv.org/abs/2203.07060
The system design and algorithm development of mobile 3D printing robots need a realistic simulation. They require a mobile robot simulation platform to interoperate with a physics-based material simulation for handling interactions between the time-
Externí odkaz:
http://arxiv.org/abs/2110.04412
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Biosensors and Bioelectronics 15 February 2017 88:210-216
