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Low-Power, Bio-Inspired Time-Stamp-Based 2-D Optic Flow Sensor for Artificial Compound Eyes of Micro Air Vehicles

2019; IEEE Sensors Council; Volume: 19; Issue: 24 Linguagem: Inglês

10.1109/jsen.2019.2938559

1558-1748

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

Advanced Optical Sensing Technologies

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 or ~30 μW 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).