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Applying neuromorphic vision sensors to planetary landing tasks


Orchard, G; Bartolozzi, C; Indiveri, G (2009). Applying neuromorphic vision sensors to planetary landing tasks. In: Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE, Beijing, 26 November 2009 - 28 November 2009, 201 - 204.

Abstract

Recently there has been an increasing interest in application of bio-mimetic controller s and neuromorphic vision sensor s to planetary landing tasks. Within this context, we present combined low-level (SPICE) and high-level (behavioral) simulations of a novel neuromorphic VLSI vision sensor in a realistic planetary landing scenar io. We use results from low
level simulations to build an abstr act descr iption of the chip which can be used in higher level simulations which include closed-loop control of the cr aft.

Abstract

Recently there has been an increasing interest in application of bio-mimetic controller s and neuromorphic vision sensor s to planetary landing tasks. Within this context, we present combined low-level (SPICE) and high-level (behavioral) simulations of a novel neuromorphic VLSI vision sensor in a realistic planetary landing scenar io. We use results from low
level simulations to build an abstr act descr iption of the chip which can be used in higher level simulations which include closed-loop control of the cr aft.

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Additional indexing

Item Type:Conference or Workshop Item (Speech), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Uncontrolled Keywords:motion|VLSI
Language:English
Event End Date:28 November 2009
Deposited On:12 Mar 2010 08:42
Last Modified:18 Feb 2018 00:37
ISBN:978-1-4244-4917-0
Additional Information:© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
OA Status:Green
Publisher DOI:https://doi.org/10.1109/BIOCAS.2009.5372048
Other Identification Number:ini:23136

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