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

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

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].

原文English
主出版物標題2016 IEEE International Solid-State Circuits Conference, ISSCC 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面416-417
頁數2
ISBN(電子)9781467394666
DOIs
出版狀態Published - 23 2月 2016
事件63rd IEEE International Solid-State Circuits Conference, ISSCC 2016 - San Francisco, United States
持續時間: 31 1月 20164 2月 2016

出版系列

名字Digest of Technical Papers - IEEE International Solid-State Circuits Conference
59
ISSN(列印)0193-6530

Conference

Conference63rd IEEE International Solid-State Circuits Conference, ISSCC 2016
國家/地區United States
城市San Francisco
期間31/01/164/02/16

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