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pro vyhledávání: '"Byrne, Brendan"'
Through the Bayesian lens of data assimilation, uncertainty on model parameters is traditionally quantified through the posterior covariance matrix. However, in modern settings involving high-dimensional and computationally expensive forward models,
Externí odkaz:
http://arxiv.org/abs/2310.01397
Autor:
Van De Walker, Brent, Byrne, Brendan, Near, Joshua, Purdie, Blake, Whatman, Matthew, Weales, David, Tarry, Cole, Moussa, Medhat
This article presents a method for developing a realistic robotics simulation environment for application in vegetable greenhouses. The method pipeline starts with the construction of a 3D cloud images of the greenhouse rows. This data is then used t
Externí odkaz:
http://arxiv.org/abs/2107.14348