Demo Data from VLDB 2026 / reviewers in the wild / expert
Francesca Giardi
dblp:117/2041
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
localization |
0.1 | 1 | 2012 | 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 |
0.0 | 1 | 2012 | Design and implementation of dynamic simulators for the testing of inertial sensors · ICRA 2012 |
Embedded and real-time systems
real-time control |
0.0 | 1 | 2012 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Design and implementation of dynamic simulators for the testing of inertial sensorsabstractMany 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 |
ICRA | 4 |