activity
20202023
most citedFuzzyLogic.jl: a Flexible Library for Efficient and Productive Fuzzy Inference

5 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.MS2023

A framework to test interval arithmetic libraries and their IEEE 1788-2015 compliance

Luis Benet, Luca Ferranti, Nathalie Revol

As developers of libraries implementing interval arithmetic, we faced the same difficulties when it comes to testing our libraries. What must be tested? How can we devise relevant…

cs.AI2023★ 5 cited

FuzzyLogic.jl: a Flexible Library for Efficient and Productive Fuzzy Inference

Luca Ferranti, Jani Boutellier

This paper introduces \textsc{FuzzyLogic.jl}, a Julia library to perform fuzzy inference. The library is fully open-source and released under a permissive license. The core design…

cs.CV2023

TBPos: Dataset for Large-Scale Precision Visual Localization

Masud Fahim, Ilona Söchting, Luca Ferranti +2

Image based localization is a classical computer vision challenge, with several well-known datasets. Generally, datasets consist of a visual 3D database that captures the modeled s…

math.NA2022

Testing interval arithmetic libraries, including their IEEE-1788 compliance

Nathalie Revol, Luis Benet, Luca Ferranti +1

As developers of libraries implementing interval arithmetic, we faced the same difficulties when it came to testing our libraries. What must be tested? How can we devise relevant t…

cs.SD2022

Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes

Luca Ferranti, Kalle Åström, Magnus Oskarsson +2

Positioning using wave signal measurements is used in several applications, such as GPS systems, structure from sound and Wifi based positioning. Mathematically, such problems requ…

math.NA2021

Homotopy Continuation for Sensor Networks Self-Calibration

Luca Ferranti, Kalle Åström, Magnus Oskarsson +2

Given a sensor network, TDOA self-calibration aims at simultaneously estimating the positions of receivers and transmitters, and transmitters time offsets. This can be formulated a…

cs.CV2020

Can You Trust Your Pose? Confidence Estimation in Visual Localization

Luca Ferranti, Xiaotian Li, Jani Boutellier +1

Camera pose estimation in large-scale environments is still an open question and, despite recent promising results, it may still fail in some situations. The research so far has fo…

eess.SP2020

Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions

Luca Ferranti, Kalle Åström, Magnus Oskarsson +2

Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider…