DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Youchang | ko |
dc.contributor.author | Hong, Injoon | ko |
dc.contributor.author | Park, Junyoung | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.date.accessioned | 2016-07-06T04:26:04Z | - |
dc.date.available | 2016-07-06T04:26:04Z | - |
dc.date.created | 2016-06-08 | - |
dc.date.created | 2016-06-08 | - |
dc.date.created | 2016-06-08 | - |
dc.date.issued | 2016-03 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.63, no.3, pp.359 - 369 | - |
dc.identifier.issn | 1549-8328 | - |
dc.identifier.uri | http://hdl.handle.net/10203/209557 | - |
dc.description.abstract | An ultra-low-power object matching processor is proposed for the autonomous micro air vehicle (MAV) navigation systems. For the ultra-low power consumption, it adopts four low-power features: 1) a 4-point scale-invariant generalized Hough transform (4P-SIGHT) to reduce the computational cost by 51%, 2) a feature streaming pipeline (FSP) to lower the operating frequency by 40%, 3) a Huffman and delta decoder (HDD) to reduce the memory readouts by 35.3%, and 4) a small-area and wide-operating-range 10-transistor level shifter (10T-LS) for the near-threshold voltage (NTV) operation. The proposed 2.0 mm(2) object matching processor is fabricated using 65 nm CMOS technology and it consumes only 54 mu W at 5 MHz operating frequency and 0.5 V supply voltage while processing QVGA resolution video in 30 fps. It is successfully applied to the MAV and shows 93.5% recognition accuracy for the autonomous navigation. It provides 9.35 x better energy efficiency than previous state-of-the-art object matching processors | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | RECOGNITION | - |
dc.subject | CMOS | - |
dc.title | A 0.5 V 54 mu W Ultra-Low-Power Object Matching Processor for Micro Air Vehicle Navigation | - |
dc.type | Article | - |
dc.identifier.wosid | 000374443800003 | - |
dc.identifier.scopusid | 2-s2.0-84977858252 | - |
dc.type.rims | ART | - |
dc.citation.volume | 63 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 359 | - |
dc.citation.endingpage | 369 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | - |
dc.identifier.doi | 10.1109/TCSI.2016.2515421 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
dc.contributor.nonIdAuthor | Park, Junyoung | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Autonomous navigation | - |
dc.subject.keywordAuthor | delta coding | - |
dc.subject.keywordAuthor | generalized Hough transform | - |
dc.subject.keywordAuthor | Huffman coding | - |
dc.subject.keywordAuthor | level shifter | - |
dc.subject.keywordAuthor | micro air vehicle | - |
dc.subject.keywordAuthor | near-threshold voltage | - |
dc.subject.keywordAuthor | object recognition | - |
dc.subject.keywordAuthor | ultra-low-power | - |
dc.subject.keywordAuthor | vocabulary tree | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | CMOS | - |
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