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Attentive motion sensor for mobile robotic applications


Bartolozzi, C; Mandloi, N K; Indiveri, G (2011). Attentive motion sensor for mobile robotic applications. In: International Symposium on Circuits and Systems (ISCAS) 2011, Rio de Janeiro, Brazil, 15 May 2011 - 18 May 2011, 2813-2816.

Abstract

We present a compact vision sensor comprising a one-dimensional array of adaptive photo-receptors, spatio temporal feature extraction circuits, feature normalization circuits, and an attentional readout circuit that selects the most salient region in the feature map. The sensor comprises also digital input and output circuits for directly interfacing it to digital processing units, making it an ideal device for mobile robotic applications. We describe the sensor architecture and present experimental results measured from the fabricated chip. As we identified unexpected results from one of the computational stages, we compare the measured responses to circuit simulations and propose improvements for new revisions of the chip.

We present a compact vision sensor comprising a one-dimensional array of adaptive photo-receptors, spatio temporal feature extraction circuits, feature normalization circuits, and an attentional readout circuit that selects the most salient region in the feature map. The sensor comprises also digital input and output circuits for directly interfacing it to digital processing units, making it an ideal device for mobile robotic applications. We describe the sensor architecture and present experimental results measured from the fabricated chip. As we identified unexpected results from one of the computational stages, we compare the measured responses to circuit simulations and propose improvements for new revisions of the chip.

Citations

2 citations in Web of Science®
3 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:18 May 2011
Deposited On:09 Mar 2012 14:33
Last Modified:05 Apr 2016 15:43
Publisher:IEEE
Number of Pages:3
ISSN:0271-4302
ISBN:978-1-4244-9472-9;978-1-4244-9473-6
Publisher DOI:https://doi.org/10.1109/ISCAS.2011.5938190

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