|
|
|
Hyeseung Park and Seungchul Park
In this paper, we propose a novel unsupervised learning-based model for estimating the depth of monocular images by integrating a simple ResNet-based auto-encoder and some special loss functions. We use only stereo images obtained from binocular cameras ...
ver más
|
|
|
|
|
|
|
Montaña Jiménez-Espada, Aurora Cuartero and Maguelone Le Breton
The main objective of the research consists of quantifying the degree of sustainability of the city of Cáceres in terms of the inhabitant?s accessibility to public services through the use of GIS tools and urban indicators, taking into account two areas ...
ver más
|
|
|
|
|
|
|
Banqiao Chen, Chibiao Ding, Wenjuan Ren and Guangluan Xu
High-quality digital road maps are essential prerequisites of location-based services and smart city applications. The massive and accessible GPS trajectory data generated by mobile GPS devices provide a new means through which to generate maps. However,...
ver más
|
|
|
|
|
|
|
Gabriel Dario Caffaratti, Martín Gonzalo Marchetta, Raymundo Quilez Forradellas
Pág. 16 - 38
Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, autonomous driving, user interfaces, etc. Multiple techniques have been developed in the last two decades to achieve accurate di...
ver más
|
|
|
|