A demonstration is made of a programmable vision chip, containing an array of photosensors collocated with a processing circuitry and memory, implementing a Dynamic Neural Field (DNF) over a simple saliency map. The system detects and tracks moving objects with strong contrasts. The computation of the DNF's dynamics is performed entirely on the vision chip. The system solely outputs relevant information that has been processed on the array: the activity of the DNF and/or address-events corresponding to the coordinates of its bumps of activity.</p
Using programmable system-on-chip to implement computer vision functions poses many challenges due t...
encadré par Benoit MiramondConception of robotic agents for applications such as object detection an...
Mixed signal analog/digital neuromorphic circuits offer an ideal computational substrate for testing...
A demonstration is made of a programmable vision chip, containing an array of photosensors collocate...
In artificial vision applications, such as tracking, a large amount of data captured by sensors is t...
Based on the concepts of dynamic field theory (DFT), we present an architecture that autonomously ge...
Abstract—Based on the concepts of dynamic field theory (DFT), we present an architecture that autono...
Vision is one of our most important senses, a vast amount of information is perceived through our ey...
We present an architecture based on the Dynamic Field Theory for the problem of scene representation...
Recent findings in neuroscience, show that rapid changes in flight direction of a housefly/blowfly (...
A one-dimensional visual tracking chip has been implemented using neuromorphic, analog VLSI techniqu...
Recent findings in neuroscience, show that rapid changes in flight direction of a housefly/blowfly (...
Neuromorphic hardware emulates dynamics of biological neural networks in electronic circuits offerin...
For self-driving vehicles, aerial drones, and autonomous robots to be successfully deployed in the r...
Project (M.S., Computer Science) -- California State University, Sacramento, 2010.The intent of this...
Using programmable system-on-chip to implement computer vision functions poses many challenges due t...
encadré par Benoit MiramondConception of robotic agents for applications such as object detection an...
Mixed signal analog/digital neuromorphic circuits offer an ideal computational substrate for testing...
A demonstration is made of a programmable vision chip, containing an array of photosensors collocate...
In artificial vision applications, such as tracking, a large amount of data captured by sensors is t...
Based on the concepts of dynamic field theory (DFT), we present an architecture that autonomously ge...
Abstract—Based on the concepts of dynamic field theory (DFT), we present an architecture that autono...
Vision is one of our most important senses, a vast amount of information is perceived through our ey...
We present an architecture based on the Dynamic Field Theory for the problem of scene representation...
Recent findings in neuroscience, show that rapid changes in flight direction of a housefly/blowfly (...
A one-dimensional visual tracking chip has been implemented using neuromorphic, analog VLSI techniqu...
Recent findings in neuroscience, show that rapid changes in flight direction of a housefly/blowfly (...
Neuromorphic hardware emulates dynamics of biological neural networks in electronic circuits offerin...
For self-driving vehicles, aerial drones, and autonomous robots to be successfully deployed in the r...
Project (M.S., Computer Science) -- California State University, Sacramento, 2010.The intent of this...
Using programmable system-on-chip to implement computer vision functions poses many challenges due t...
encadré par Benoit MiramondConception of robotic agents for applications such as object detection an...
Mixed signal analog/digital neuromorphic circuits offer an ideal computational substrate for testing...