Efficient high speed signal estimation with neuromorphic vision sensors

作者: Erich Mueller , Andrea Censi , Emilio Frazzoli

DOI: 10.1109/EBCCSP.2015.7300672

关键词:

摘要: Recently developed neuromorphic vision sensors present a high speed, event-based alternative to conventional in robotic systems. We method for the design of simple, low computation estimators that take advantage remarkable properties these provide latency, bandwidth sensing feedback control fast dynamical It is shown under certain circumstances simple transformation event stream from such sensor can allow it be treated as an asynchronous configuration sensor, with minimal required achieve speed signal reconstruction. These results are applicable any problems requiring performance visual computation.

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