1 / 22

Through-Wall Vision Project

Through-Wall Vision Project. Financement : FEDER / ANR. Bruno Lescalier , engineer , 09/2010 - …. Prototyping and Software development, participation in research. Projects : MODECOL : automatic recognition of grass. Throught-the-wall : Imaging, reduce of noise, target detection,….

devonn
Télécharger la présentation

Through-Wall Vision Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Through-Wall Vision Project Financement : FEDER / ANR

  2. Bruno Lescalier, engineer, 09/2010 - … • Prototyping and Software development, participation in research. • Projects : • MODECOL : automatic recognition of grass. • Throught-the-wall : Imaging, reduce of noise, target detection,…

  3. Team « Through-The-Wall Vision» • Recent structure in L3i: 2004 • With : • 2 Professors (M. Ménard, G. Louis) • 2 Lecturers (A. Gaugue, J. Khamlichi) • 2 PhD (O. Benahmed, X. Zhao) • 3 engineers (B. Lescalier, O. Chappe, V.Merelle) • Areas of expertise : • UWB (Ultra Wide Band) pulse device. • Signal processing : expertise in inverse filtering, deconvolution, decompositions,… • Processing and computer graphics / 3D. • Ongoingproject FEDER (2010/2011) / ANR (2011/2013)

  4. Objectives of the Project • Development of a portable prototype : • Reliable detection of human presence in the building and enumeration. • Location kidnappers / hostages. • Tracking people movements. • Outline of the topology of place. • Detection of people in rubble.

  5. Radar system Acquisition Antennas FPGA Localization Trilateration Targetsdetection CFAR Imaging Retroprojection 2D/3D Background substract Targetstracking Particularfilter Kalman Signal processing FPGA Reduce of noise Peakdetection FPGA Software development

  6. Vincent Mérelle Research and development engineer: Embedded systems Digital electronics High speed data link Signal processing

  7. experimental system

  8. Signal Acquisition module • FPGA (field programmable grid array) Virtex6 prototyping board. • Analog to Digital Converter board

  9. Real time system, 5Ghz sampling

  10. Titre de thèseConception d’une chaîne d’acquisition et de traitement Radar ULB pour la détection de cibles mobiles derrière un mur Thesis title Designe of an acquisition and processing UWB radar chain for detection of moving targets behind the wall Xiaowei Zhao, PhD Currently in the 4th year of thesis (writing thesis manuscript) Supervisors: Michel Ménard, Alain Gaugue, Jamal Khamlichi

  11. Trilateration Localization without wall: Time of arrival method (TOA) + Geometry method (analytical) Localization with wall: Time of arrival (TOA) method + Convergent method (digital)

  12. Experiment scene

  13. Results Result

  14. Mise en place de la chaîne de traitement de l’information d’un radar distribué pour la vision à travers les murs Throught-Wall imaging Omar BENAHMED DAHO 2ndyearPhDStudent omar.benahmed_daho@univ-lr.fr Supervisors : J.KHAMLICHI & M.MENARD & A.GAUGUE

  15. Through-Wall Imaging Radar • Block Diagram

  16. Through-Wall Imaging Radar • Back-projection : • Based on Radon Transform (Medical Imaging) Temps

  17. Through-Wall Imaging Radar • 3D Back-projection : Clément GUERIN

  18. Through-Wall Imaging Radar • Steady/mobile Separation • Moving object segmentation using background subtraction. • Mobile  Tracking • Steady  inside walls,….

  19. Through-Wall Imaging Radar • Some Results :

  20. Olivier Chappe • Engineer R&D • Skills : • Image and Signal processing • C++ programming (with Qt, OpenGL, OpenCV)

  21. Works in the project • Implementation of two software : • Software connected to the oscilloscope for testing our system in real-time. • Simulation Software. • Software use techniques explained earlier to detect target.

  22. Works of Sloven Dubois • Target tracking algorithm • Kalman filtering

More Related