The Beobot Platform for Embedded Real-Time Neuromorphic Vision. Itti, L. In Dietterich, T. G., Becker, S., & Ghahramani, Z., editors, Advances in Neural Information Processing Systems, Vol. 15, Hardware Demo Track, Cambridge, MA, 2003. MIT Press.
abstract   bibtex   
We demonstrate a new mobile robotics platform designed for the implementation and testing of neuromorphic vision algorithms in unconstrained outdoors environments. It is being developed by a team of undergraduate students with graduate supervision and help. Its distinctive features include significant computational power (four 1.4GHz CPUs with gigabit interconnect), high-speed four-wheel-drive chassis, standard Linux operating system, and a comprehensive toolkit of C++ vision classes. The robot is designed with two major goals in mind: real-time operation of sophisticated neuromorphic vision algorithms, and off-the-shelf components to ensure rapid technological evolvability. A preliminary embedded neuromorphic vision architecture that includes attentional, gist/layout, object recognition, and high-level decision subsystems is showcased (see http://iLab.usc.edu/beobots/ for additional information).
@inproceedings{ Itti03nips,
  title = {The Beobot Platform for Embedded Real-Time Neuromorphic Vision},
  author = {L. Itti},
  abstract = {We demonstrate a new mobile robotics platform designed for the
implementation and testing of neuromorphic vision algorithms in
unconstrained outdoors environments. It is being developed by a team
of undergraduate students with graduate supervision and help. Its
distinctive features include significant computational power (four
1.4GHz CPUs with gigabit interconnect), high-speed four-wheel-drive
chassis, standard Linux operating system, and a comprehensive toolkit
of C++ vision classes. The robot is designed with two major goals in
mind: real-time operation of sophisticated neuromorphic vision
algorithms, and off-the-shelf components to ensure rapid technological
evolvability.  A preliminary embedded neuromorphic vision architecture
that includes attentional, gist/layout, object recognition, and
high-level decision subsystems is showcased (see
http://iLab.usc.edu/beobots/ for additional information).},
  year = {2003},
  publisher = { MIT Press },
  editor = {T. G. Dietterich and S. Becker and Z. Ghahramani},
  address = { Cambridge, MA },
  booktitle = { Advances in Neural Information Processing Systems, Vol.
                        15, Hardware Demo Track },
  type = { mod;bu;bb;sc;cv },
  keywords = { Robotics ; Neuromorphic Engineering ; Computational Modeling ;
Visual Processing ; Visual Attention },
  file = { http://iLab.usc.edu/publications/doc/Itti03nips.pdf },
  review = {abs/conf}
}

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