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Context Presentation

Several manufacturers now offer road vehicles that are almost autonomous (Tesla, Uber, Apple, EasyMile, ...). But they still require certain situations where human control is essential, which is why research is still important in this field. Experimentation is an essential means to evaluate software in a context close to reality. Evaluation in real conditions has several disadvantages: (i) user safety is difficult to guarantee; (ii) the cost of experimentation is very high; (iii) experimental sites in urban areas are very rare; (iv) the volumes of communications with the infrastructure and the necessary processing capacities are difficult to guarantee.

In order to carry out this research and evaluate it experimentally, we are developing an environment in which model cars move in a realistic environment.

 Keywords

Semi-real simulation, Intelligent Transport System

Scientific goal

•    Experiment algorithm with miniature model of vehicles

Contact

guilhem.marcillaud@irit.fr

Context Presentation

Soon, Air Traffic Control (ATC) will have to cope with a radical change in the structure of air transport. Apart from the increase in traffic that will push the system to its limits, the insertion of new aerial vehicles such as UAVs into the airspace, with different flight performances, will increase its heterogeneity. Previous work investigated the collision avoidance management problem using a decentralized distributed approach. To do so, an autonomous and generic multi-agent system has been proposed to address this complex problem.

The aim of this work is to test the genericity of the proposed multi-agent system (CAAMAS), already tested in simulation with airplanes, using it with real drones in ENAC’s drone aviary. Work carried out during the semester has allowed 1) to interface CAAMAS with ENAC drone software, Paparazzi UAV, 2) ease scenarists work by creating a user friendly interface to generate flight plans, 3) make CAAMAS easier to use by creating some configuration interfaces.Further work will focus on the trajectories modification of the agents to take into account the specificity of the UAV’s.

 Keywords

Autonomous UAV; Multi-Agent System; Self-Avoidance ; Self-Adaptation ; Artificial Intelligence ;

Scientific goals

•    Self-Organization of an autonomous vehicles trafic

Contacts

augustin.degas@irit.fr, elsy.kaddoum@irit.fr

Context Presentation

Connected autonomous vehicles of level 3 are vehicles in which the human driver delegates driving control in specific situations. During these situations, it may be necessary for the human to regain control of the driving activity.

The main objective of this thesis is to develop a system for the safe and efficient transition of two-way control between the human and the autonomous vehicle.For this, the system must identify by self-observation and in real time situations in which the current driver will no longer be able to ensure driving. He must also provide a context for assessing the criticality of the situation as quickly as possible in order to anticipate and react to it as best as possible. The driving context is composed of indicators that characterize the elements that describes part of the driving process. The system is based on self-adaptive multi-agent learning systems.

Keywords

self-adaptive multi-agent systems, autonomous vehicle

Scientific goals

•    Dynamic learning using multi-agent systems

•    Generic approach to supervise the activity of a system

•    Insure the acceptability of the system by human driver

Contacts

kristell.aguilar-alarcon@irit.fr, marie-pierre.gleizes@irit.fr, loic.caroux@univ-tlse2.fr

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