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Proceedings - OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
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Event­ based  Design  for  Mitigating  Energy  in  Electronic Systems Laurent  Fresquet   Laboratoire  TIMA,  France laurent.fresquet@imag.fr Abstract Today,  our  digital  society  exchanges  data  flows  that  are  incredibly  large  and  the  future  promises us  a  data  explosion  due  to  the  communications  between  our  technological  equipment,  robots,  etc. Indeed,  we  are  close  to  widely  open  the  door  of  the  Internet  of  Things  (IoT).  This  data  orgy  will waste  a  lot  of  energy  and  will  contribute  to  a  non­ ecological  approach  of  our  digital  life.  Indeed, the  Internet  and  the  new  technologies  consume  about  10%  of  the  electrical  power  produced  in  the world.  Considering  that  we  are  only  at  the  beginning  of  the  IoT,  it  is  urgent  to  enhance  the energetic  performances  of  the  electronic  circuits  and  systems.  The  design  paradigm  based  on synchronizing  digital  circuit  communication  with  a  clock  is  source  of  useless  activity  and  of complicated  design  techniques.  The  digital  circuit  design  based  on  local  synchronizations,  also called  asynchronous  circuits,  is  a  way  to  mitigate  the  power  consumption  in  electronics  by  only activating  the  circuitry  when  an  event  appears.  In  addition,  another  way  to  reduce  energy  is  to rethink  the  sampling  techniques  and  digital  processing  chains.  Indeed,  by  using  the  Shannon theory,  we  produce  more  data  than  necessary.  Indeed,  useless  data  produce  more  computation, more  storage,  more  communications  and  also  more  power  consumption.  If  we  go  beyond  the Shannon  theory,  we  can  discover  new  sampling  schemes  and  new  processing  techniques  able  to take  advantage  of  event­ based  design.  Drastically  reducing  the  useless  data  and  activity  is  maybe the  Grail  of  low­ power  computing. 7
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Proceedings OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Title
Proceedings
Subtitle
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Authors
Peter M. Roth
Kurt Niel
Publisher
Verlag der Technischen Universität Graz
Location
Wels
Date
2017
Language
English
License
CC BY 4.0
ISBN
978-3-85125-527-0
Size
21.0 x 29.7 cm
Pages
248
Keywords
Tagungsband
Categories
International
Tagungsbände

Table of contents

  1. Learning / Recognition 24
  2. Signal & Image Processing / Filters 43
  3. Geometry / Sensor Fusion 45
  4. Tracking / Detection 85
  5. Vision for Robotics I 95
  6. Vision for Robotics II 127
  7. Poster OAGM & ARW 167
  8. Task Planning 191
  9. Robotic Arm 207
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