intelligent and communicating vehicles.pdf

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    Rodolfo ORJUELA - Benoît HILT

    Intelligent and

    Communicating Vehicles

    Séminaire Mobilités

    October 2, 2013 - Mulhouse

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    Outline 

    - MIPS laboratory

    - Intelligent Vehicles -> Communicating Vehicles

    - Intelligent Vehicles, MIAM Team

    - Communicating Vehicles, GRTC Team

    -  Autonomous and Communicating Vehicles

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    The MIPS Laboratory of the University of Haute-Alsace 

    Head: Prof. Olivier HAEBERLE

    Modeling, Intelligence Process and Systems 

    EA 2332 

    MIPS laboratory is composed by 70 members including- 38 faculty members (13 Professors and 25 "Maîtres de Conférences")

    - 27 PhD students

    - 5 staff members

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     Automatic

    Control

    Signal and

    Image

    Processing

    Computer

    Science and

    Networking

    The MIPS Lab is a research department of the Universi ty of Haute-Alsace

    The MIPS Lab links together research in control theory and in its border-fields;

    mechanics, computer science, optics, networking and robotics.

    The Research Topics at the MIPS

    Unifying theme" Intelligent Structures and Machines"

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       Automatic Control 

     Modelling and Identification in Automatics and Mechanics (MIAM) 

    led by M. Basset, E. Aubry based at ENSISA Control and Learning 

    led by J.P. Urban, J. Mercklé based at FST

    Signal and Image Processing  

     Optical functions and Information Processing 

    led by P. Ambs, L. Bigué based at ENSISA

     3D microscopy imaging and image processing led by O. Haeberlé, A Dieterlen based at IUT Mulhouse

    Computer Science and Networks 

     Software engineering 

    led by B. Thirion, M. Hassenforder based at ENSISA Telecommunications and Networks (GRTC) 

    led by P. Lorenz based at IUT Colmar

    The Research Topics at the MIPS

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    Intelligent & Communicating Vehicles 

     Automotive vehicle is the main used individual

    means of locomotion

    • Constantly growing number of personal vehicles

    • Road safety can be severely degraded

    • Driving pollution increases highly

    Intelligent and Communicating Vehicles are a

    promising way to mitigate these drawbacks…

    Nuit des chercheurs 2012, Veesse

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    The Autonomous Vehicle theme in the MIPS Lab 

    Intelligent vehicle needs Advanced Driver Assistance Systems (ADAS)

    Research at the MIAM-team deals with :

    • New ADAS design and validation

    • Development of global control architectures for an automatized driving

    Driverless car technology Automated urban

    transport systems

     Automated highway

    driving systems5

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     Autonomous Vehicle Global Architecture

    PERCEPTION

    REFERENCE GENERATION

    CONTROL

    VEHICLE

    Provides instantaneous information

    about road / vehicle / environment

    Computes the trajectory to be

    tracked (path and speed)

    Ensures the automated vehicle

    guidance

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    Control for an Autonomous Vehicle 

    CONTROL Lateral control

    • ensures an effective path tracking

    • improves lateral stability of the

    vehicle

    Longitudinal control

    • ensures an effective speed tracking

    • adapts speed according to thedriving situation

    Lateral

    control

    Longitudinal

    control

    V  eh i   c l   e

     s  p e

     e d 

       V  e   h

       i  c   l  e   t  r  a   j  e  c   t  o  r  y

       S   t  e  e  r   i  n  g

    T h r  o t   t  l   e

    B r  ak  e

     

    Control of the vehicle is not easy !

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    Control of an Autonomous Vehicle 

    CONTROLComplex system • Mathematical model• Physical laws

    Computer simulation

    System Theory &

     Automatic Control &

     Applied Mathematics

    How our developments are validated?

    Development of global control architectures for an automatized driving

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    Bench test available in the Lab 

    Steering system

    Suspension Bench

    Instrumented vehicle

    GPS, sensors, inertial central…

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    CONTROL

    Inter-vehicles communicationis then required

    • Currently, our control results are only validated considering a single vehicle

    • Others vehicles must be taken into account to improve the autonomous

    vehicle guidance

    To this end, the MIAM team and the GRTC team collaborate…

     Autonomous Vehicle 

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    Research themes in Networking

    • Multimedia for next generation networks

    • Telecommunication of wired/wireless networks

    • Study and modeling of wireless networks, new

    architectures and communication protocols with

    QoS (Quality of Service)

    • Vehicular Ad-Hoc Networks (VANETs)

    Methods

    • Study and modeling of communication protocols 

    • Simulation of protocols (NS-2, NS-3, OpenStreetMap, SUMO, …) 

    • Engineering for protocols and models (all ISO layers) 

    The Networking theme in the MIPS Lab 

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    Vehicular communications – GRTC Team 

    Goal: improve safety, go towards ubiquity

     Available technologies:

    • Wifi not deployed (for cars),

    • Cellular deployed

    Economic models:

    • Wifi free and shared,

    • Cellular paying and personal 

    Shared property: use of radio waves as communication medium 

    Future used technology:

    • Will probably be chosen by market

    • Will probably not be unique

    Research helps in discovering the limits

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    Drawbacks:

    coverage area, shared media access, high mobili ty

    Evaluation: Real measurements vs Simulation

    Real measurements

    • expensive

    • non reproducible

    • realistic

    Simulation

    • cheap

    • reproducible• lacks in realism

    Focus on Simulation

    • Realism in simulation tools (with Network Simulator)

    • Modeling and engineering of communication protocols

    … but we are also making

    real world measurements

    Vehicular communications – Characteristics 

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    Propagation models: reproducing the full process of OFDM based numeric

    transmission (coding + propagation)

    Vehicular communications – Realism in simulations 

    Facing models with real world:

    Measurement campaigns

    with Software Defined Radio (SDR)

    -115

    -95

    -75

    -55

    -35

    -15

    Distance (m)

    Measures done on July 18, 2013

    Protocol goal : making physical layer

    information available for forecasting link

    degradation/disruption due to vehicular motion

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    Multihop: a challenge for information dissemination

    Vehicular communications – Routing protocols 

    Relies on routing protocols that

    are not initially designed for fast

    surrounding modifications

    Requires new and adapted routing metrics coming from physical layer up to

    routing layer

    The entire protocol stack should be adapted to

    the communication media high variability

    BER (Bit Error Ratio) based routing mechanism.

    Dedicated ITS Protocol Stack

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     Autonomous and Communicating Vehicles

    The dream of cars driving themselves is becoming a reality.

    Before, the question was whether it was possible.

    Now we know it is.Sebastian Thrun (Google self-driving car)

     Autonomous and Communicating vehicle is a interesting research field

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    • Autonomous Vehicle is now a reality  but

    Communicating/Collaborative Vehicles stands

    as an open problem

    • New solutions must be proposed to cope with

    this challenge

    • This introduces a new mobility paradigm

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    Thank you for your attention