Dr. Claudio Fantacci
R&D engineer at Istituto Italiano di Tecnologia (IIT)
SPIE Involvement:
Author
Area of Expertise:
Recursive Bayesian estimation , Particle filtering , Kalman filtering , Visual tracking , Visual servoing , Random finite sets
Profile Summary

I'm an engineer and developer with knowledge sharing and problem solving attitudes.

I have 6 years experience in recursive Bayesian filtering and software developing, including R&D collaboration with Selex ES (Finmeccanica) and a Ph.D. in computer science and automation engineering from University of Florence (Italy). I was recipient of the 2014 Australia Award Endeavour Research Fellowship (granted by the Australian Government, Department of Education) under which I have been an R&D collaborator at the Advanced Signal Processing Group of Curtin University of Technology (Perth, Australia).

From January 2016, I'm a post-doc at the Istituto Italiano di Tecnologia (Genoa, Italy) in the iCub Facility, Humanoid Sensing and Perception, for studying, researching and developing new augmented reality-based visual tracking systems and visual servoing controllers for the humanoid robotic platform iCub.

I actively contribute to the development of the free and open source YARP (https://github.com/robotology/yarp) and iCub (https://github.com/robotology/icub-main/) software as a member of the robotology group (https://github.com/robotology). I also contribute to and develop other open source project during my research activities, which can be found in my GitHub page (https://github.com/claudiofantacci).
Publications (1)

PROCEEDINGS ARTICLE | May 21, 2015
Proc. SPIE. 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
KEYWORDS: Target detection, Information fusion, Statistical analysis, Detection and tracking algorithms, Sensors, Nickel, Surveillance, Sensor networks, Monte Carlo methods, Network architectures

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