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

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

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Author: Jeon, Dongsuk; Ickes, Nathan; Raina, Priyanka; Wang, Hsueh-Cheng; Rus, Daniela; Chandrakasan, Anantha P.
Department: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date Issued: 2016-01
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.
URI: http://hdl.handle.net/1721.1/101189
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).
Version: Author's final manuscript
Terms of Use: Creative Commons Attribution-Noncommercial-Share Alike
Detailed Terms: http://creativecommons.org/licenses/by-nc-sa/4.0/
Published As: https://submissions.mirasmart.com/isscc2016/PDF/ISSCC2016AdvanceProgram.pdf
Journal: Proceedings of the 2016 IEEE International Solid-State Circuits Conference

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