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A 0.6V, 8mW 3D Vision Processor for a Navigation Device for the Visually Impaired

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dc.contributor.author Jeon, Dongsuk
dc.contributor.author Ickes, Nathan
dc.contributor.author Raina, Priyanka
dc.contributor.author Wang, Hsueh-Cheng
dc.contributor.author Rus, Daniela L.
dc.contributor.author Chandrakasan, Anantha P.
dc.date.accessioned 2016-02-16T14:51:26Z
dc.date.available 2016-02-16T14:51:26Z
dc.date.issued 2016-01
dc.identifier.uri http://hdl.handle.net/1721.1/101189
dc.description.abstract This paper presents an energy-efficient computer vision processor for a navigation device for the visually impaired. Utilizing a shared parallel datapath, out-of-order processing and co-optimization with hardware-oriented algorithms, the processor consumes 8mW at 0.6V while processing 30 fps input data stream in real time. The test chip fabricated in 40nm is demonstrated as a core part of a navigation device based on a ToF camera, which successfully detects safe areas and obstacles. en_US
dc.description.sponsorship Texas Instruments Incorporated en_US
dc.language.iso en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.relation.isversionof https://submissions.mirasmart.com/isscc2016/PDF/ISSCC2016AdvanceProgram.pdf en_US
dc.rights Creative Commons Attribution-Noncommercial-Share Alike en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/ en_US
dc.source Jeon en_US
dc.title A 0.6V, 8mW 3D Vision Processor for a Navigation Device for the Visually Impaired en_US
dc.type Article en_US
dc.identifier.citation Jeon, Dongsuk, Nathan Ickes, Priyanka Raina, Hsueh-Cheng Wang, Daniela Rus, and Anantha P. Chandrakasan. "A 0.6V, 8mW 3D Vision Processor for a Navigation Device for the Visually Impaired." 2016 IEEE International Solid-State Circuits Conference (January 2016). en_US
dc.contributor.department Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science en_US
dc.contributor.department Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory en_US
dc.contributor.approver Chandrakasan, Anantha P. en_US
dc.contributor.mitauthor Jeon, Dongsuk en_US
dc.contributor.mitauthor Ickes, Nathan en_US
dc.contributor.mitauthor Raina, Priyanka en_US
dc.contributor.mitauthor Wang, Hsueh-Cheng en_US
dc.contributor.mitauthor Rus, Daniela L. en_US
dc.contributor.mitauthor Chandrakasan, Anantha P. en_US
dc.relation.journal Proceedings of the 2016 IEEE International Solid-State Circuits Conference en_US
dc.identifier.mitlicense OPEN_ACCESS_POLICY en_US
dc.eprint.version Author's final manuscript en_US
dc.type.uri http://purl.org/eprint/type/ConferencePaper en_US
eprint.status http://purl.org/eprint/status/NonPeerReviewed en_US
dspace.orderedauthors Jeon, Dongsuk; Ickes, Nathan; Raina, Priyanka; Wang, Hsueh-Cheng; Rus, Daniela; Chandrakasan, Anantha P. en_US
dc.identifier.orcid https://orcid.org/0000-0001-5473-3566
dc.identifier.orcid https://orcid.org/0000-0002-7418-0994
dc.identifier.orcid https://orcid.org/0000-0003-3483-3011
dc.identifier.orcid https://orcid.org/0000-0002-5977-2748
dc.identifier.orcid https://orcid.org/0000-0001-9074-2945


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