Posts from 2020

Context Presentation

The ANR SWITCH project is focused on studying the impact of smart city new transport modes on infrastructure. Although the new transports (electric, autonomous vehicles, transport on demand, bicycles, etc.) can facilitate intra-urban mobility and improve the quality of life, they can also create new constraints for which cities must be prepared. Then urban planners need tools to evaluate the impact of urban policies in terms of mobility and infrastructure to explore “What if? " scenarios.

These new simulation tools require mobility simulations on a city scale and on different time scales. As part of the meta-model design for the Smart City simulation, this internship is about developing an urban mobility model allowing to couple a flow-based circulation model with a multi-agent model allowing fine modeling of driver behavior. The internship must carry out a proof of concept on the Gama platform of this type of system on the scale of an agglomeration.

Keywords

Traffic Simulation, GAMA, Multi-Agent Simulation, Smart City, Transport

Scientific goal

•    To validate a mesoscopic traffic multi-agent model considering various transports facilities

Contacts

loic.sadou@gmail.com, nicolas.verstaevel@irit.fr, frederic.amblard@ut-capitole.fr

Context Presentation

MyGates is a part of autOCampus project to experiment and validates the smart mobility particularly for electrics, connected and autonomous vehicles in a dense urban environment.

In that way, a gates management system for autonomous vehicles will make easier experiments. It combines an automatic license plate with a car model recognizer to make it usable for classic car. It also contains database to keep information over authorized car and application designed for security officer to give temporary authorization for delivering driver with a photo of the vehicle and the plate.

MyGates is designed to be added on existing gates and only create the automation system with SALTO automaton that already are managing gates. MyGates will belong to the AIoT platform that will come out in the regional platform of research and innovation (PRRI) context containing smart camera and other smart devices.

Keywords

Autonomous Vehicles, Gates, CNN, ALPR, Salto, Nvidia Jetson Nano, autOCampus

Scientific goals

•    Create automatic and connected gates managements with plate and car model recognition

•    Create a classifier with many classes that are very similar

Contacts

vincent-nam.dang@irit.fr, thiebolt@irit.fr

Context Presentation

This thesis project answers to the desire of the IRIT-SMAC and CLLE-LTC teams to work together to develop intelligent innovative solutions for the car of the future, both acceptable to humans and technologically feasible. As such, this thesis in cognitive ergonomics focuses on “drivengers”/ partially automated cars interactions.

The general goal is to investigate the conditions allowing to increase drivenger’s acceptability of automated driving, and performance when taking over the control of vehicle from automation.The project will combine several experimental studies, first conducted on a driving simulator (Simul’auto platform - CCU platform - UT2J), then on a closed city experimental circuit (autOCampus circuit - UPS (under design)).

Keywords

User experience, Mobility, Safety, Human Factor, Automated Cars

Contact

maxime.delmas@univ-tlse2.fr

Context Presentation

The goal of this project is to provide a librarian with easy to use interactive tools to monitor and control the noise made by students in a University Library. Sensors installed in the library detect the level of noise in different places of the library. Based on this information, the librarian can observe where in the library the level is too high and hence go and warn the students.

In addition, this tool allows the librarian to define zones in the library with different levels of authorized noise, to allow different forms of work in the library. For monitoring and control, the approach we explore in this project is based on the use of a physical model representing the whole library as it may constitute a strong support to the librarian to understand to which place in the library the information is related to.

Keywords

Interaction techniques, Phygital Interaction Technique

Scientific goals

•    Design and implement “phygital interaction techniques”, i.e. based on the use of a physical support to visualize and interact with digital data related to a physical location. Combining an immersive visualization and a physical model requires the development of original and relevant techniques.

•    Assess the impact of phygital interaction techniques, on the usability of the interaction technique. Users experiments will be conducted to compare our solutions to monitoring application based on the use of lists of table and zones.

Contact

Jiaming.Feng@irit.fr

Context Presentation

Over the last decades, the amount of data has increased to 29000 Go produced each second. Understanding the data requires tools to transform these numbers, texts and images into concrete representations. The field of data visualization aims to produce data representation to visualize and analyze abstract data. Building, people or vehicles produce a lot of data collected by many sensors. These specific data are related to a physical location (e.g. number of people in a room is related to the room, humidity in a floor is related to the floor, etc.) Bring and display them close from their physical context allow people to make a better representation of the data (Embedded Data Representations, Willet et al. , 2017).

In this project we aim to design interaction techniques to navigate and manipulate the data close to a physical referent. The main goal is to develop a full interactive physical model of the campus endowed with situated data.

Keywords

Interaction Techniques, Situated Data, Phygital Model, Human Computer Interaction

Scientific goals

Design and evaluation interaction techniques to explore a digital modeldesign and evaluate interaction techniques with situated databuild a physical model of the campus endowed with situated data and interactive capabilities

Contacts

florent.cabric@irit.fr, emmanuel.dubois@irit.fr, marcos.serrano@irit.fr, christophe.hurter@enac.fr

Context Presentation

Cyber-physical and ambient systems surround the human user with services at her/his disposal. From these services, complex composites services, tailored to the user preferences and the current situation, can be composed automatically and on the fly.

To produce the knowledge necessary for automatic composition in the absence of both prior expression of the user's needs and specification of a process or a composition model, we develop a generic solution based on online reinforcement learning. It is decentralized within a multi-agent system in charge of the administration and composition of the services, which learns incrementally from and for the user.

Keywords

Ambient intelligence; Service Discovery, Selection and Composition; Multi-agent System; Machine learning; Smart city; neOCampus

 Scientific goals

•    Design a decentralized and distributed system that learns and decides on compositions.

•    Consider user preferences and context.

Contacts

walid.younes@irit.fr, jean-paul.arcangeli@irit.fr, sylvie.trouilhet@irit.fr, francoise.adreit@irit.fr

Context Presentation

The purpose of project CAPARI is to assist university users, presenting them with an Android app that allows them to access various pieces of information: library, restaurants, weather forecast, carpool options, etc.

Keywords

Android Application

 Scientific goals

•    To study and promote new digital usages at the university

Contact

valerian.guivarch@irit.fr

Context Presentation

On site access control exists almost everywhere in today's modern world. Keys have already been replaced by access cards in most places but accessOCampus aims to improve on these existing systems even more.

For less than 200€ (excluding the optional thermal camera) an accessOCampus client module can be built, this includes : NFC access card recognition, passcode entry, face recognition and a large screen for access related information. The system can also be locked down or forced open globally by an authorized security personnel via the easy to use web interface.

In theory, accessOCampus can be used to log who has entered any given zone and provide detailed information on those people. For instance, if any given access card is stolen we can detect who used it via face recognition either silently or to refuse access.This project could be implemented in select zones of Toulouse University to provide a low-cost high fidelity access system.

Keywords

neOCampus, IOT, Smart Building, Security, Access, Face Recognition

 Scientific goals

•    Provide a high security solution to restricted zones

•    Facilitate zone entry for the end user via face recognition•    Display easy to understand information

Contacts

gomme600@hotmail.com, Francois.Thiebolt@irit.fr

Context Presentation

SandFox project is a collaborative project between IRIT and Berger-Levrault company. This project is part of neOCampus initiative. The goal is to find best ways to represent and interact with data. These data are dated, we would like to be able to compare them over different periods.

To do that, we were doing research concerning different existing models of interaction with data. We were looking among those that most closely matched expectations of our collaborators. From these models, we were going to the conception step of low and medium fidelity prototypes. For the selected model, we were choosing a circular representation. This representation allows more visibility to compare several periods of time. We were also able to produce a low fidelity prototype (paper prototype) and a medium fidelity prototype in progress (make on adobe Xd).

In conclusion, we were founding a representation that allows a clear view of data but lacks interactives elements to change building data for another building or interaction modalities which have not yet been clearly defined.

Keywords

Human-Computer Interaction, SandFox, data, interaction, neOCampus, Data Visualization, Data Interaction

Scientific goals

Facilitate the interaction of temporal data from different sources and/or different time periods.

Contacts

flavien.clastres-babou@univ-tlse3.fr, mathieu.raynal@irit.fr, christophe.bortolaso@berger-levrault.com, stephanie.rey@berger-levrault.com 

Vous êtes cordialement invités à la 7ème journée scientifique neOCampus qui se tiendra le 8 Juillet 2020, de 9:30 à 12:30, en direct sur la plateforme YouTube : https://youtu.be/VmD6j0fKlVs

Cette année, ce sont plus de 20 projets qui seront présentés, abordant des thématiques liés à l’environnement, l’internet des objets, l’énergie, la mobilité ou encore les véhicules autonomes connectés.

Le programme de cette journée, présenté ci-dessous, s’articule autour de deux tables rondes qui associeront la présentation courte d’une sélection de projets, et une discussion avec un panel d’experts autours de ces thématiques. Le public pourra participer à cette table ronde via le live Chat YouTube de l’événement (https://www.youtube.com/live_chat?is_popout=1&v=VmD6j0fKlVs).

 Programme de la journée : 

               9 :30 : Introduction par Marie-Pierre Gleizes, chargée de mission neOCampus 

               9 :45 : Première table ronde, animée par Louise Besta  

               Opportunités et limites du numérique au service de la science  

              Cette première table ronde questionnera les limites et opportunités de l’usage du numérique pour modéliser et comprendre nos environnements  

              11 :00 : Deuxième table ronde, animée par Magali Gerino  

              De la transdisciplinarité à l’implication citoyenne et étudiante    

            Cette seconde table ronde questionnera l’apport de la transdisciplinarité et les perspectives qu’elle offre en termes de recherche, d’innovation et de formation  

             12 : 15 : Mots de conclusion et remise du prix de la meilleure vidéo 

Lien vers le replay: https://youtu.be/VmD6j0fKlVs Lien vers la playlist des vidéos:https://www.youtube.com/playlist?list=PLreDibQk6wGYUrdfk8seSJsXS9W969qaJ