Steering with an aVLSI motion detection chip

Moeckel, Rico; Jaeggi, Raphael; Liu, Shih-Chii

doi:10.1109/iscas.2008.4541598

“…When mapping a 3D biological structure onto 2D silicon, short vertical connections are often mapped to long lateral connections, increasing line capacitance, energy consumption, and occupying valuable space. This is overcome in many artificial implementations by only considering motion in one lateral direction, then stacking circuits in the other lateral direction instead of vertically [3], [53], [55], [58], [62], [63], [74], [77], [88], [94].…”

Section: Future Directionsmentioning

confidence: 99%

Bioinspired Visual Motion Estimation

Orchard,

Etienne-Cummings

2015

Preprint

0

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Visual motion estimation is a computationally intensive, but important task for sighted animals. Replicating the robustness and efficiency of biological visual motion estimation in artificial systems would significantly enhance the capabilities of future robotic agents. 25 years ago, in this very journal, Carver Mead outlined his argument for replicating biological processing in silicon circuits. His vision served as the foundation for the field of neuromorphic engineering, which has experienced a rapid growth in interest over recent years as the ideas and technologies mature. Replicating biological visual sensing was one of the first tasks attempted in the neuromorphic field. In this paper we focus specifically on the task of visual motion estimation. We describe the task itself, present the progression of works from the early first attempts through to the modern day state-of-the-art, and provide an outlook for future directions in the field.

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“…When mapping a 3-D biological structure onto 2-D silicon, short vertical connections are often mapped to long lateral connections, increasing line capacitance, energy consumption, and occupying valuable space. This is overcome in many artificial implementations by only considering motion in one lateral direction, then stacking circuits in the other lateral direction instead of vertically [3], [53], [55], [58], [62], [63], [74], [77], [88], [94].…”

Section: Future Directionsmentioning

confidence: 99%

Bioinspired Visual Motion Estimation

Orchard

¹

,

Etienne‐Cummings

²

2014

View full text Add to dashboard Cite

Visual motion estimation is a computationally intensive, but important task for sighted animals. Replicating the robustness and efficiency of biological visual motion estimation in artificial systems would significantly enhance the capabilities of future robotic agents. 25 years ago, in this very journal, Carver Mead outlined his argument for replicating biological processing in silicon circuits. His vision served as the foundation for the field of neuromorphic engineering, which has experienced a rapid growth in interest over recent years as the ideas and technologies mature. Replicating biological visual sensing was one of the first tasks attempted in the neuromorphic field. In this paper we focus specifically on the task of visual motion estimation. We describe the task itself, present the progression of works from the early first attempts through to the modern day state-of-the-art, and provide an outlook for future directions in the field.Comment: 16 pages, 11 figures, 1 tabl

show abstract