PRoVisG

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PRoVisG
Planetary Robotics Vision Ground Processing
Keywords planetary robotic exploration, vision data exploitation, local mapping, mission dissemination
Funding Agency European Space Agency
Project Type Collaborative Project 
 researchObjective=
Reference
Objective
Participants Joanneum Research (coordinator),

Aberystwyth University, German Aerospace Center, Czech Technical University, SciSys, EADS Astrium, Technical University of Berlin, University College London, Ohio State University, University of Surrey, CSEM, CNES
Budget Total: 4.5 M Euro

Funding: 3.47 M Euro
Duration 1 October 2008 - 31 December 2011
Web Site http://www.provisg.eu

PRoVisG[1] (Planetary Robotics Vision Ground Processing) is a Collaborative Project (FP7-SPACE-2007-1) in the frame of the European Commission's Seventh Framework Programme. PRoVisG brings together major EU and US research institutions and stakeholders involved in space robotic vision and navigation to develop a unified approach to robotic vision ground processing. It started in October 2008 with a duration of 39 Months until December 2011.

Contents

[edit] Project objectives

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The objectives of the PRoVisG project include[2]:

  • Build a unified European framework for planetary robotic vision ground processing.
  • Develop the technology to better process and visualise the existing and future data from planetary robotic missions in order to maximize the value-added exploitation of these data for research, technology and education.
  • Increase public awareness of planetary robotic missions and the European contribution to their scientific evaluation.

[edit] Project description

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In the context of PRoVisG,[3] robotic planetary space missions are defined as unmanned missions performing in situ exploration (including airborne systems) of the surface and (if applicable) atmosphere for any planetary objects outside the Earth. Most such missions involve a means of mobility provided by either a surface vehicle (rover) or by aerial vehicles (balloons, aerobots etc.). It is mobile systems that are the most critical of all space missions in requiring a rapid turnaround of imaging data through processing and proper presentation on the ground (i.e., back on Earth) to allow efficient planning of operations in order to make maximum use of the usually limited lifetime of the vehicle in question.

The PRoVisG Consortium envisages that in the future the number and variety of such platforms will require more autonomy than is feasible today. PRoVisG will provide the building blocks for such future autonomous exploration systems in terms of robotics vision.

This project will bring together the major groups currently working on planetary robotic vision, consisting of research institutions inside and out of Europe, European Space Agency (ESA), National Aeronautics and Space Administration (NASA), and the industrial stakeholders involved in vision & navigation for robotic space missions as well as for their scientific exploitation. It will develop a unified and generic approach for robotic vision ground processing. Exchange of algorithms and methods will be facilitated such that at any stage of mission development and execution a common set of tools will be available that represents the state-of-art in European computer vision. The explicit implementation or adaptation of vision processing components will be realized in the scope of the project to the extent necessary to complete the ground processing chain for this purpose.

One of the main deliverables will be a web-based Geo-Information System (GIS) that invokes a comprehensive vision data processing chain as well as visualization of the context, history, vision metadata and products for complete robotic planetary missions. At a glance, a user will be able to see where data was acquired, from how many measurement stations, what coverage and from what instrumentation – brought into temporal and spatial context to the processing results and products.

The inclusion of on-board vision-based navigation expertise will also ensure that the project has an awareness of commonalities and complements between both on-board and ground vision processing.

To demonstrate the implemented infrastructure, a representative part of the US Mars Exploration Rovers (MER) imagery will be processed in batch to generate 2D and 3D data products such as Digital Terrain Models (DTMs), panoramic greyscale, colour and multispectral mosaics, range maps and a set of representative scientifically relevant results. Rover and aerobot mock-up equipment available at some of the proposing institutions will be used to verify and demonstrate the processing of data that goes beyond the imaging, sensing and transmission abilities available so far at the NASA MER and currently envisaged ESA missions.

These demonstrations will be performed within testbed tests and a field–test campaign. A summer school is attached to this final test. To maximise access to the requirements and results for the European scientific community, representative data sets will be publicly provided, allowing relevant international institutions to test and assess their processing algorithms on a competitive basis. The results will be presented at dedicated workshops, supported by PRoVisG, including a quantitative, systematic evaluation by members of the PRoVisG Consortium.

[edit] Impact

The PRoVisG Consortium and most of its members have already published more than ten abstracts and papers[4] at relevant conferences such as the European Planetary Science Congress (EPSC),[5][6][7] the European Geosciences Union (EGU) Conference,[8] and computer vision[9][10] as well as 3D vision conferences. In addition, press releases,[11][12][13] YouTube Videos,[14][15][16] and Fair demos[17] could be accomplished. Various public presentations and Press conference presentations as well as more than 20 public scientific presentations in the frame of PRoVisG Plenary meetings were held. A workshop at AU,[18] organized by PRoVisG, brought together members from the PRoVisG Consortium, ESA scientists, representatives of national funding agencies, and prime contractors of the ExoMars Mission. www.PRoVisG.eu is the official PRoVisG web site.

[edit] Partners

Associated:

[edit] References

  1. ^ "PRoVisG official website". Provisg.eu. http://provisg.eu. Retrieved 17 January 2012. 
  2. ^ "European Commission's Space Call: FP7-SPACE −2007-1". Europa (web portal). http://cordis.europa.eu/fetch?CALLER=FP7_PROJ_EN&ACTION=D&DOC=1&CAT=PROJ&QUERY=0129941ffdc7:62c1:2b0f6347&RCN=89375. Retrieved 17 January 2012. 
  3. ^ "PRoVisG EC Brochure" (PDF). http://www.provisg.eu/js/tinymce/plugins/filemanager/files/provisg.pdf. Retrieved 17 January 2012. 
  4. ^ "PRoVisG Publications". Provisg.eu. http://www.provisg.eu/Science--Technology/Publications/. Retrieved 17 January 2012. 
  5. ^ "Replace this sentence with the title of your abstract" (PDF). http://meetingorganizer.copernicus.org/EPSC2009/EPSC2009-514.pdf. Retrieved 17 January 2012. 
  6. ^ "Shin_EPSC09v3" (PDF). http://meetingorganizer.copernicus.org/EPSC2009/EPSC2009-390.pdf. Retrieved 17 January 2012. 
  7. ^ "Automatic Reconstruction of Mars Artifacts" (PDF). http://meetingorganizer.copernicus.org/EPSC2009/EPSC2009-280.pdf. Retrieved 17 January 2012. 
  8. ^ "Unification and Enhancement of The EC FP7 Project PRoVisG" (PDF). http://meetingorganizer.copernicus.org/EGU2009/EGU2009-4473-6.pdf. Retrieved 17 January 2012. 
  9. ^ "Stereographic rectification of omnidirectional stereo pairs". Computer.org. http://www.computer.org/portal/web/csdl/doi/10.1109/CVPRW.2009.5206530. Retrieved 17 January 2012. 
  10. ^ "Fast Polygonal Integration and Its Application in Extending Haar-like Features to Improve Object Detection". Cvl.umiacs.umd.edu. http://cvl.umiacs.umd.edu/conferences/cvpr2010/program/. Retrieved 17 January 2012. 
  11. ^ "Reconstruct Mars Automatically in Minutes". Spaceref.com. 18 September 2009. http://www.spaceref.com/news/viewpr.html?pid=29185. Retrieved 17 January 2012. 
  12. ^ "Mars through the eyes of a robot". Channel 4. http://www.channel4.com/news/articles/science_technology/mars+through+the+eyes+of+a+robot/3358902. Retrieved 17 January 2012. 
  13. ^ Palmer, Jason (25 September 2009). "BBC: European Mars rover's 'eye test'". BBC News. http://news.bbc.co.uk/1/hi/technology/8271733.stm. Retrieved 17 January 2012. 
  14. ^ "Let's Embrace Space". Europa (web portal). 31 October 2010. http://ec.europa.eu/enterprise/policies/space/research/embrace_space_en.htm. Retrieved 17 January 2012. 
  15. ^ Meld je aan of registreer je om een reactie te plaatsen! (13 May 2009). "Mapping Mars". Youtube. http://www.youtube.com/watch?v=ho0_QrFBMpY. Retrieved 17 January 2012. 
  16. ^ "CNN: Europe in Mars". CNN. 16 July 2010. http://edition.cnn.com/video/#/video/world/2009/09/26/itn.clarke.uk.optics.for.mars.itn. Retrieved 17 January 2012. 
  17. ^ "Demo of "Mars Mapping"". Mcg.at. http://mcg.at/en/messe/veranstaltungen_9/herbstmesse_09/visitor/faszination_weltraum. Retrieved 17 January 2012. 
  18. ^ PRoVisG Robotics Workshop

[edit] External links

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