A 0.6V 8mW 3D vision processor for a navigation device for the visually impaired

Dongsuk Jeon, Nathan Ickes, Priyanka Raina, Hsueh-Cheng Wang, Daniela Rus, Anantha Chandrakasan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

3D imaging devices, such as stereo and time-of-flight (ToF) cameras, measure distances to the observed points and generate a depth image where each pixel represents a distance to the corresponding location. The depth image can be converted into a 3D point cloud using simple linear operations. This spatial information provides detailed understanding of the environment and is currently employed in a wide range of applications such as human motion capture [1]. However, its distinct characteristics from conventional color images necessitate different approaches to efficiently extract useful information. This paper describes a low-power vision processor for processing such 3D image data. The processor achieves high energy-efficiency through a parallelized reconfigurable architecture and hardware-oriented algorithmic optimizations. The processor will be used as a part of a navigation device for the visually impaired (Fig. 24.1.1). This handheld or body-worn device is designed to detect safe areas and obstacles and provide feedback to a user. We employ a ToF camera as the main sensor in this system since it has a small form factor and requires relatively low computational complexity [2].

Original languageEnglish
Title of host publication2016 IEEE International Solid-State Circuits Conference, ISSCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages416-417
Number of pages2
ISBN (Electronic)9781467394666
DOIs
StatePublished - 23 Feb 2016
Event63rd IEEE International Solid-State Circuits Conference, ISSCC 2016 - San Francisco, United States
Duration: 31 Jan 20164 Feb 2016

Publication series

NameDigest of Technical Papers - IEEE International Solid-State Circuits Conference
Volume59
ISSN (Print)0193-6530

Conference

Conference63rd IEEE International Solid-State Circuits Conference, ISSCC 2016
CountryUnited States
CitySan Francisco
Period31/01/164/02/16

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