Bio-Inspired Optic Flow Sensors for Artificial Compound Eyes.
dc.contributor.author | Park, Seok Jun | en_US |
dc.date.accessioned | 2014-10-13T18:19:31Z | |
dc.date.available | NO_RESTRICTION | en_US |
dc.date.available | 2014-10-13T18:19:31Z | |
dc.date.issued | 2014 | en_US |
dc.date.submitted | 2014 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/108841 | |
dc.description.abstract | Compound eyes in flying insects have been studied to reveal the mysterious cues of vision-based flying mechanisms inside the smallest flying creatures in nature. Especially, researchers in the robotic area have made efforts to transfer the findings into their less than palm-sized unmanned air vehicles, micro-air-vehicles (MAVs). The miniaturized artificial compound eye is one of the key components in this system to provide visual information for navigation. Multi-directional sensing and motion estimation capabilities can give wide field-of-view (FoV) optic flows up to 360 solid angle. By deciphering the wide FoV optic flows, relevant information on the self-status of flight is parsed and utilized for flight command generation. In this work, we realize the wide-field optic flow sensing in a pseudo-hemispherical configuration realized by mounting a number of 2D array optic flow sensors on a flexible PCB module. The flexible PCBs can be bent to form a compound eye shape by origami packaging. From this scheme, the multiple 2D optic flow sensors can provide a modular, expandable configuration to meet low power constraints. The 2D optic flow sensors satisfy the low power constraint by employing a novel bio-inspired algorithm. We have modified the conventional elementary motion detector (EMD), which is known to be a basic operational unit in the insect’s visual pathways. We have implemented a bio-inspired time-stamp-based algorithm in mixed-mode circuits for robust operation. By optimal partitioning of analog to digital signal domains, we can realize the algorithm mostly in digital domain in a column-parallel circuits. Only the feature extraction algorithm is incorporated inside a pixel in analog circuits. In addition, the sensors integrate digital peripheral circuits to provide modular expandability. The on-chip data compressor can reduce the data rate by a factor of 8, so that it can connect a total of 25 optic flow sensors in a 4-wired Serial Peripheral Interface (SPI) bus. The packaged compound eye can transmit full-resolution optic flow data through the single 3MB/sec SPI bus. The fabricated 2D optic flow prototype sensor has achieved the power consumption of 243.3pJ/pixel and the maximum detectable optic flow of 1.96rad/sec at 120fps and 60 FoV. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Optic Flow Sensor | en_US |
dc.subject | Optical Flow Sensor | en_US |
dc.subject | Artificial Compound Eyes | en_US |
dc.subject | CMOS Image Sensor | en_US |
dc.subject | Bio-inspired Time-stamp-Based Optic Flow Sensing Algorithm | en_US |
dc.subject | A/D Mixed-mode Circuits | en_US |
dc.title | Bio-Inspired Optic Flow Sensors for Artificial Compound Eyes. | en_US |
dc.type | Thesis | en_US |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Electrical Engineering | en_US |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | en_US |
dc.contributor.committeemember | Yoon, Euisik | en_US |
dc.contributor.committeemember | Cutler, James W. | en_US |
dc.contributor.committeemember | Flynn, Michael | en_US |
dc.contributor.committeemember | Sarabandi, Kamal | en_US |
dc.contributor.committeemember | Wise, Kensall D. | en_US |
dc.subject.hlbsecondlevel | Electrical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/108841/1/sssjpark_1.pdf | |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
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