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Gregorio Vettori

dblp:117/2139 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot navigation and mapping · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
localization
0.112012
Design and implementation of dynamic simulators for the testing of inertial sensors · ICRA 2012
Embedded and real-time systems › real-time simulation
hardware-in-the-loop simulation
0.012012
Design and implementation of dynamic simulators for the testing of inertial sensors · ICRA 2012
Embedded and real-time systems
real-time control
0.012012
Design and implementation of dynamic simulators for the testing of inertial sensors · ICRA 2012

Methods — techniques the papers use, named apart from their topics

tachometer integration · 0.3inertial measurement unit · 0.3
YearPublicationVenuePosition
2012 Design and implementation of dynamic simulators for the testing of inertial sensors
abstract
Many dynamic simulators have been developed in the last thirty years for different types of vehicles. Flight simulators and drive simulators are very well known examples. This paper describes the design and implementation of a dynamic simulator for the testing of inertial sensors devoted to vehicle navigation through a Hardware-In-The-Loop test rig composed of an industrial robot and a commercially available Inertial Measurement Unit (IMU). The authors are developing an innovative localization algorithm for railway vehicles which integrates inertial sensors with tachometers. The opportunity to set up a testing simulator capable of replicating in a realistic fashion the dynamic effects of the vehicle motion on inertial sensors allows to avoid expensive on board acquisitions and to speed up algorithm tuning. The real-time control architecture featured by the available industrial robot allows to precisely specify and execute motion trajectories with tight path and time law constraints required by the application at hand.
Benedetto Allotta, Lorenzo Becciolini, Riccardo Costanzi, Francesca Giardi, Alessandro Ridolfi, Gregorio Vettori
ICRA6