Low-power, bio-inspired time-stamp-based 2-d optic flow sensor for artificial compound eyes of micro air vehicles

Seokjun Park, Kyuseok Lee, Hyunsoo Song, Jihyun Cho, Sung Yun Park, Euisik Yoon

Research output: Contribution to journalArticle

Abstract

We report a low-power, bio-inspired mixed-signal 2-D optic flow sensor to realize artificial compound eyes, which can provide a wide field of view (FoV) sensing capability for autonomous navigation of micro-Air-vehicles (MAVs). Inspired by insect vision, a 2-D time-stamp algorithm has been developed to scale the number of deployable sensors at low power. The fabricated sensor estimates 16-b 2-D optic flows of maximum 1.96 rad/s with FoV of 60° from the integrated mixed-signal algorithm core, which consumes only 243.3 pJ/pixel ∼ 30 μ at 120 fps. In addition, the peripheral circuits for modular design have been integrated on chip to provide optic flow data compression, wide-field integration (WFI), and serial peripheral interface (SPI). More than 25 sensors can be connected in a single SPI bus and transmit the full resolution optic flows. The fabricated prototype sensor supports full resolution 2-D optic flows from an array of 64×64 pixels at 120 fps through a 3 MB/s SPI bus (4 wires total).

Original languageEnglish
Article number8821370
Pages (from-to)12059-12068
Number of pages10
JournalIEEE Sensors Journal
Volume19
Issue number24
DOIs
Publication statusPublished - 2019 Dec 15

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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