J
Jorge Dias
Researcher at Khalifa University
Publications - 418
Citations - 6526
Jorge Dias is an academic researcher from Khalifa University. The author has contributed to research in topics: Mobile robot & Robot. The author has an hindex of 35, co-authored 359 publications receiving 5474 citations. Previous affiliations of Jorge Dias include University of Coimbra & KAIST.
Papers
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Revisiting 30 years of biofunctionalization and surface chemistry of inorganic nanoparticles for nanomedicine
João Conde,Jorge Dias,Valeria Grazú,María Moros,Pedro V. Baptista,Jesús M. de la Fuente,Jesús M. de la Fuente +6 more
TL;DR: The aim of this review is not only to provide in-depth insights into the different biofunctionalization and characterization methods, but also to give an overview of possibilities and limitations of the available nanoparticles.
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An Introduction to Inertial and Visual Sensing
TL;DR: In this article, the authors present a tutorial introduction to two important senses for biological and robotic systems -inertial and visual perception, and discuss the complementarity of these sensors, describe some fundamental approaches to fusing their outputs and survey the field.
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A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends
TL;DR: In this paper, a brief overview on the recent advances of small-scale UAVs from the perspective of platforms, key elements, and scientific research is provided, particularly on platform design and construction, dynamics modeling, and flight control.
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Relative Pose Calibration Between Visual and Inertial Sensors
Jorge Lobo,Jorge Dias +1 more
TL;DR: This paper proposes an approach to calibrate off-the-shelf cameras and inertial sensors to have a useful integrated system to be used in static and dynamic situations.
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Vision and inertial sensor cooperation using gravity as a vertical reference
Jorge Lobo,Jorge Dias +1 more
TL;DR: A framework for using inertial sensor data in vision systems is set, some results obtained, and the unit sphere projection camera model is used, providing a simple model for inertial data integration.