A 0.6V, 8mW 3D Vision Processor for a Navigation Device for the Visually Impaired
Author(s)Jeon, Dongsuk; Ickes, Nathan; Raina, Priyanka; Wang, Hsueh-Cheng; Rus, Daniela L.; Chandrakasan, Anantha P.; ... Show more Show less
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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.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the 2016 IEEE International Solid-State Circuits Conference
Institute of Electrical and Electronics Engineers (IEEE)
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).
Author's final manuscript