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The POR-CREO FESR 2014-2020 SPaCe project recently started!

The Smart passenger Center project researches multimedial solutions to orchestrate surveillance and mobility services. It relies on Artificial Intelligence (AI) to equip operators and transportation authority with instruments for the management of the dynamics of passengers flow.

Within SPaCe, the Resilient Computing Lab will research solutions for the design and evaluation of dependable and secure systems that include intelligent components.

 
SPaCe - Smart Passenger Center PDF Print E-mail
Projects_1

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Involvment type: participant

Project contract: POR FESR Toscana 2014-2020, CUP 3647.04032020.157000059

Start date: 2020-10-01

End date: 2022-09-30

The SPaCe project researches multimedial solutions to orchestrate surveillance and mobility services. It relies on Artificial Intelligence (AI) to equip operators and transportation authority with instruments for the management of the dynamics of passengers flow.

Il progetto SPaCe propone una soluzione multimodale di orchestrazione di supervisione e mobilità, che utilizza l’AI per fornire agli operatori e alle autorità di trasporto strumenti avanzati di gestione del flusso passeggeri. La soluzione consente di adattare, facilmente e in tempo reale, la loro offerta ai vari requisiti di allontanamento sociale e di raccolta pubblica sorti a causa della pandemia di Covid-19.

Consortium

MER MEC S.p.A.

Università degli Studi di Firenze

ISTI-CNR

SOFTHROD S.R.L.

Wondersys S.R.L.

ResilTech S.R.L.

 
Detection of failed images PDF Print E-mail
Tools

This repository presents the source code for the construction and execution of a trained agent that aims to detect images produced by a failed RGB camera.

The repository includes the source code to:

  1. create a dataset of images using the Carla simulator
  2. create images as if they are produced by a failed camera (for this purpose, the following tool is used, that is described in the Thesis from Francesco Secci)
  3. train an agent to distinguish between "failed" and "normal" images
  4. test the agent on the different images set.

All details are reported in the Thesis of Pietro Bernabei.

Link to the github:

https://github.com/BernabeiPietro/Carla_Detector_Cam_Malfunction

 
ADVANCE PDF Print E-mail
ADVANCE

Involvment type: coordinator

Project website: https://www.advance-rise.eu/

Project contract: H2020-MSCA-RISE-2018, number 823788

Start date: 01-01-2019

End date: 31-12-2022

 

The scientific objective of the ADVANCE project is to conceive new approaches to support the Verification and Validation (V&V) of Cyber-Physical Systems (CPS). It will explore techniques, methods, and tools applicable to different phases of the system lifecycle, but always with the final objective of improving the effectiveness and efficacy of the V&V process. In particular, ADVANCE will focus on two main aspects of V&V: i) techniques to collect V&V evidences for a CPS (focusing on system modeling, testing, fault forecast, and systematic processes like FMEA), and ii) techniques to manage and analyze data of the system under analysis (focusing on data analysis, requirements management, traceability). The strategic objective of the project is to build an international network of collaborations on the topic of V&V of CPSs. Besides allowing the consortium to reach the project's scientific objectives, the established interactions would allow the training of students and professionals on the latest innovations in the V&V panorama, and have them work together towards a common goal. In fact, besides the technical challenges described above, an important factor hampering advancements in the V&V of CPSs is a worldwide lack of skilled professionals in V&V, software testing, and Information and Communication Technology (ICT) in general. One of the outputs of the project will be a set of training material, both in the form of slides and video courses, on the topic of Verification & Validation of Cyber-Physical Systems. These objectives will be pursued by joining together V&V experts having different specialization and different backgrounds, and establishing a targeted transfer of knowledge and collaboration program, using two real case studies as reference.

The consortium includes:

    • RCL: CINI, Italy
    • UNIVERSIDADE DE COIMBRA, Portugal
    • BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM, Hungary
    • UNIVERSIDAD DE LOS ANDES FUNDACION, Colombia
    • RESILTECH SRL, Italy
    • UNIVERSIDADE ESTADUAL DE CAMPINAS, Brazil
    • INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS, Brazil

This project has received funding from the European Union's H2020-MSCA-RISE-2018, proposal ID 823788.

 

 
RFI - Safety-Critical Architectures PDF Print E-mail
RFI - Safety-Critical Architectures

 

The project explores Safe Architectures for SIL4 Railway Systems. This three-year project will see a cooperation between RCL group and the R&D department of RFI - Rete Ferroviaria Italiana -, which is managing the railway network in Italy. Main targets of the project will be:

- Definition of architectures for two future SIL4 systems: PMF, which will work onboard of the train, and SEC, which will be deployed inside stations.

- Devising coding rules for implementing SIL4 software in the railway domain, including coding rules, coding styles and quality metrics.

- V&V Plan, and definition of Safety Cases

- Preliminary Hazard Analyses

- Modeling activities for the early validation of the systems above both in terms of Safety and Security.

- Exploring mechanisms for fault-tolerance in the railway domain in accordance with standards such as ERTMS / SCMT (Italian)

- Safe Visualization of safety-critical information on commercial OTS devices (e.g., tablets)

- Implementation of the "Protocollo Vitale Standard" to allow safe communications among subsystems.

Overall, the aim of the project is to devise architectures and mechanisms for SIL4 systems, along with prototypes of specific subsystems.

 
SISTER: SIgnaling & Sensing TEchnologies in Railway applications PDF Print E-mail
SISTER

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Involvment type: participantalt
Project website:http://www.progetto-sister.com/
Project contract: POR FESR Toscana 2014-2020
Start date: 2017-02-01
End date: 2018-12-31

 

Goals and Objectives

In the context of integration of traditional tramway systems with metropolitan hybrid solutions tram-train type (Light Rail Transit, LRT), the SISTER project aims at combining the concepts of rail safety with a higher operative automation level, guaranteed by innovative signaling solutions. The solutions developed within the SISTER project will allow significant improvements in capacity in LRT systems together with the assurance of fast, safe and efficient journeys.

Design of a solution that will improve safety in LRT mode by the development, integration and validation of three innovative actions:
- An innovative signaling system;
- A new remote sensing radar with a high reliability level;
- An innovative communication system based on radio broadband resilient to interferences.

The maturity level of the solution will be evaluated in a partner gate in order to make the necessary corrections to develop a final demonstrator.

Consortium

  • THALES ITALIA S.P.A.
  • IDS INGEGNERIA DEI SISTEMI S.P.A.
  • GENESY SRL
  • UNIVERSITA’ DEGLI STUDI DI FIRENZE
  • UNIVERSITA’ DI PISA
  • RESILTECH SRL
 
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