Barbara Pralio
Polytechnic University of Turin
34 Papers
297 Citations
Barbara Pralio is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Metrology & Wireless sensor network. The author has an hindex of 12, co-authored 34 publications. Previous affiliations of Barbara Pralio include Instituto Politécnico Nacional.
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Papers
Distributed Large-Scale Dimensional Metrology
Fiorenzo Franceschini,Maurizio Galetto,Domenico Augusto Francesco Maisano,Luca Mastrogiacomo,Barbara Pralio +4 more
- 01 Jan 2011
TL;DR: In this article, the authors present a survey of the most recent developments in the field of large-scale dimensional metrology (LSM) with particular attention to distributed systems, focusing on sensor positioning, system calibration and self-diagnostics.
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A Wii remote-based infrared-optical tracking system
TL;DR: This paper presents an extremely affordable tracking system based on Wii remotes used as IR cameras that allows to track in real-time a 6-DOF target at a cost of less than one thousand dollars.
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•Book
Distributed Large-Scale Dimensional Metrology: New Insights
Fiorenzo Franceschini,Maurizio Galetto,Domenico Augusto Francesco Maisano,Luca Mastrogiacomo,Barbara Pralio +4 more
- 20 Aug 2014
TL;DR: Distributed Large-Scale Dimensional Metrology introduces a new paradigm in this field that reverses the classical metrological approach: measuring systems that are portable and can be easily moved around the location of the measured object, which is preferable to moving the object itself.
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A Genetic Algorithm for Target Tracking in FLIR Video Sequences Using Intensity Variation Function
TL;DR: An optimized target search strategy relying on GAs and exploiting an evolutionary approach for the computation of the IVF is presented and showed that the proposed approach is capable of significantly improving performances by dramatically reducing algorithm processing time.
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Optimal sensor positioning for large scale metrology applications
Maurizio Galetto,Barbara Pralio +1 more
TL;DR: A software-assisted procedure for efficient placement of ultrasonic beacons in a wireless distributed network-based system for medium–large sized object measurements and a regular grid-based strategy and a genetic algorithm-based approach to the deployment problem are presented.
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