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Josefina Novejarque Civera

Publications -  25
Citations -  83

Josefina Novejarque Civera is an academic researcher. The author has contributed to research in topics: Computer science & Audit. The author has an hindex of 3, co-authored 9 publications receiving 27 citations.

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Do contextual factors influence entrepreneurship? Spain’s regional evidences

TL;DR: In this paper, the authors examined the socioeconomical forces influencing entrepreneurial activity at both the regional and country level in Spain during the period from 2000 to 2017 and found significant differences in new firm formation rates by regions.
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Situational Graphs for Robot Navigation in Structured Indoor Environments

TL;DR: This paper presents a novel, real-time, online built Situational Graph (S-Graph), which combines in a single optimizable graph, the representation of the environment with the aforementioned three dimensions, together with the robot pose, and contributes with a metric-semantic-topological model of the environments.
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EndoMapper dataset of complete calibrated endoscopy procedures

TL;DR: The Endomapper dataset is introduced, the first collection of complete endoscopy sequences acquired during regular medical practice, including slow and careful screening explorations, making secondary use of medical data.
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S-Graphs+: Real-Time Localization and Mapping Leveraging Hierarchical Representations

TL;DR: S-Graphs+ as discussed by the authors is an evolved version of Situational Graphs, which jointly models in a single optimizable factor graph (1) a pose graph, as a set of robot keyframes comprising associated measurements and robot poses, and 2) a 3D scene graph as a high-level representation of the environment that encodes its different geometric elements with semantic attributes and the relational information between them.
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Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization

TL;DR: This letter contributes with the Danish Airs and Grounds (DAG) dataset, a large collection of street-level and aerial images targeting place recognition and visual localization in wide baseline configurations, and presents the results of a simple map-to-image re-localization baseline.