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We proposed an approach for automatically evaluating the quality of 3D building models. It is cast as a supervised classification task based on a hierarchical ...
Jun 26, 2019 · It is based on (i) a taxonomy of errors, hierarchical, adapted to all LODs, and independent from input models, and (ii) a multimodal handcrafted ...
Jul 15, 2019 · This work proposes an approach for automatically evaluating the quality of 3D building models. Potential errors are compiled in a novel ...
In this paper, we evaluate how the urban area composition impacts prediction transferability and scalability of our framework to unseen scenes. This allows to ...
Jul 15, 2019 · We proposed an approach for automatically evaluating the quality of 3D building models. It is cast as a supervised classification task based on ...
Evaluated how the urban area composition impacts prediction transferability and scalability of the framework to unseen scenes and defines minimal feature ...
This paper advances that family of methods by proposing and implementing a novel technique that avoids the difficult step of directly classifying GNSS signals.
Sep 29, 2020 · This paper offers potential solutions to this problem by providing a globally replicable methodology to generate low-cost 3D city models from open source 2D ...
Missing: Scalable | Show results with:Scalable
This paper aims to propose an automatic strategy for the evalu- ation of any kind of LoD2 3D building city models. Using very high resolution images (10 cm) in ...
Missing: Scalable | Show results with:Scalable
We conclude that 3D city models are useful for estimations of large areas (e.g. for a country), and that the 3D approach has clear advantages over the 2D ...
Missing: Scalable | Show results with:Scalable