Event-driven sensing and processing for high-speed robotic vision
|Author||Camuñas Mesa, Luis Alejandro
Serrano Gotarredona, María Teresa
Linares Barranco, Bernabé
|Published in||Biomedical Circuits and Systems Conference, BioCAS 2014 (2014), p 1-4|
|Abstract||We present here an overview of a new vision
paradigm where sensors and processors use visual information
not represented by sequences of frames. Event-driven vision is
inherently frame-free, ...
We present here an overview of a new vision paradigm where sensors and processors use visual information not represented by sequences of frames. Event-driven vision is inherently frame-free, as happens in biological systems. We use an event-driven sensor chip (called Dynamic Vision Sensor or DVS) together with event-driven convolution module arrays implemented on high-end FPGAs. Experimental results demonstrate the application of this paradigm to implement Gabor filters and 3D stereo reconstruction systems. This architecture can be applied to real systems which need efficient and high-speed visual perception, like vehicle automatic driving, robotic applications in non-structured environments, or intelligent surveillance in security systems.
|Citation||Camuñas Mesa, L.A., Serrano Gotarredona, M.T. y Linares Barranco, B. (2014). Event-driven sensing and processing for high-speed robotic vision. En Biomedical Circuits and Systems Conference, BioCAS 2014 (1-4), Laussane (Suiza): Institute of Electrical and Electronics Engineers.|
Except where otherwise noted, this item's license is described as: Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
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