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    Personal information
     Name:<withheld>
     Age:<withheld>
     Country:<withheld>
     Location:<withheld>
    Contact information
     Email:<withheld>
     Phone:<withheld>
     Mobile:<withheld>
    Candidate Profile
     Date Submitted:03-04-2012
     Last Modified:03-04-2012 (11:55)
    Job information
     Current job:System Engineer
     Employment Term:Permanent
     Job location:Anywhere
     Date available:within 3months
     Industry:Launch Systems
     KeywordsGNC Systems Engineering, Mission Analysis, Stochastic Estimation, Modelling and Simulation, Optimization, Vision Based Navigation, Software Development, Satellite Attitude Control, Robotics.
    CV

     

    Work experience

     

     

     

    Dates

    10/03/2010 - Present

    Occupation or position held

    System Engineer

    Main activities and responsibilities

     VEGA LAUNCHER GUIDANCE AND NAVIGATION MISSIONIZATION


    Vega is a new generation launcher designed to place small satellites in low orbits with extreme flexibility, affordability and reliability. Objective of missionization activity is to define the tunings of Guidance and Navigation that allow the launcher, guided by GNC system, to follow the optimal trajectory as close as possible satisfying mission requirements.

     

    VEGA launcher Guidance and Navigation

    Automatization and Optimization tools development

    Requirements verification with Monte Carlo analyses

    Launch vehicle Modelling and Simulation

    Depleted stages re-entry analyses

    Guidance Robustness analyses

    Flight Program Software Guidance and Navigation Definition Files production

    Documentation production

    Analyses on Solid Rocket Motors scatterings impact on launcher orbital accuracy and depleted stages re-entry

    Feasibility analysis on Neural Network application to fast footprint evaluation

    Interface files and methodologies upgrading
     

    Name and address of employer

    Altran

    Type of business or sector

    Customer:E.L.V. S.P.A.

    Customer’s industrial sector:Space

     

     

     

    Dates

    12/04/2009 - 15/12/2009

    Occupation or position held

    Researcher - Visiting Scholar

    Main activities and responsibilities

    UAV Vision Based Navigation.

    Project objective was to develop the capability for UAVs (Unmanned Autonomous Vehicles) to navigate in GPS denied environments for an extended period of time exploiting computer vision. For this purpose a PARTICLE FILTER and an EXTENDED KALMAN FILTER have been developed (in C++) and tested for the integration of measurements from a suite of cameras with different orientations, an IMU, and a GPS when available.

    Small UAV mission scenario leads to assume limited payload and computational capability, accurate accelerations and rotation rates data coming from the IMU at all times during the mission. IMU measurements, although accurate, suffer of small biases in the estimates that lead to large long-term drift in the vehicle position and attitude estimates. This problem can be solved using a GPS. In many applications, however, GPS information is available for part of the mission, but may become lost, denied, or obscured for long periods of time, during which no position information is available. This loss of information could be the result of many causes such as flying indoors or in an urban canyon. In these situations vision information has the potential to provide relatively low-drift data from which to estimate vehicle ego-motion during GPS outages. Many of the causes of lost or intermittent GPS signals are physical obstructions such as buildings or mountains. In most situations where an object is blocking the GPS signal there are features for the camera to track. Situations with poor feature density include flying over the ocean or a desert or at high altitudes - all situations where GPS is likely to be available.

    My primary contribution to the project was the realization and implementation of a Particle Filter and an Extended Kalman Filter for a vision-based navigation system integrating measurements from a suite of cameras, an IMU, and a GPS.
    Great efforts were required for the realization of a C++ environment performing basic mathematical operations, filtering heterogeneous/ asynchronous measurements and interfacing sensors (IMU, GPS, cameras), allowing images processing and features tracking for vehicle ego-motion estimation.

    Name and address of employer

    MIT (Massachusetts Institute of Technology) and Aurora Flight

    Type of business or sector

    Customer:MIT (Massachusetts Institute of Technology) and Aurora Flight

    Customer’s industrial sector:Civil Aeronautics

     

     

     

     

     

    Education and training

     

     

     

    Date

    15/12/2009

    Title of qualification awarded

    Certification: TOEFL (Test of English as a Foreign Language)

    Name and type of organization providing education and training

    ETS

     

     

     

     

    Date

    2009

    Title of qualification awarded

    Control Systems Engineering (110 e lode)

    Principal subjects/occupational skills covered

    - Control, guidance and navigation of aerospace vehicles,

    - Robotics,

    - Stochastic Estimation,

    - Optimal / robust / nonlinear / digital / hybrid / adaptive / Intelligent control techniques,

    - Linear / nonlinear / discrete optimization techniques,

    - Artificial Intelligence / Machine learning,

    - Electronics.

     

    Thesis Title:

    PARTICLE FILTER and EXTENDED KALMAN FILTER for vehicle ego-motion estimation using Computer Vision.

    Thesis Description :

    Thesis was focused on development of filtering techniques to allow vision based navigation. In particular a PARTICLE FILTER and an EXTENDED KALMAN FILTER have been developed and compared for the integration of measurements from a suite of cameras with different orientations, an IMU, and a GPS when available.       

    Name and type of organization providing education and training

    " La Sapienza " – Rome

     

    Level in national or international classification

    Master’s degree

     

     

    Date

    2007

    Title of qualification awarded

    Automation Systems Engineering (110 e lode)

    Principal subjects/occupational skills covered

    - Classical theory of Automatic Controls,

    - Robotics,

    - Computer Science,

    - Telecommunication.

     

    Thesis Title:
    Feasibility analysis of the THERMAL CONTROL of a satellite for ESMO (European Student Moon Orbiter) project as member of the TCS (Thermal Control Subsystem).

    Thesis Description :
    Thesis project has been conducted in a working conjunction with 10 students from “La Sapienza” university and other groups from many European universities for the realization of a Lunar scientific mission. My contribution was focused on two main activities: form one side I performed thermal analyses on ESMO satellite, from the other side I was responsible for interfacing with SW suppliers.

    Name and type of organization providing education and training

    " La Sapienza " – Rome

     

    Level in national or international classification

     

     

    Bachelor

     

    Personal skills and competences

     

     

     

     

     

    Mother tongue(s)

    Italian

    Other language(s)

    English

     

     

    Computer skills and competences

    Matlab - Simulink
    MS Office Excel-Word-Outlook
    Eclipse (editor for C/C++ programming) (both LINUX and WINDOW environments)
    Latex
    Visual Studio C++

     



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