https://scholars.lib.ntu.edu.tw/handle/123456789/350301
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Hsiao, P.-Y. | en_US |
dc.contributor.author | Yeh, C.-W. | en_US |
dc.contributor.author | Huang, S.-S. | en_US |
dc.contributor.author | LI-CHEN FU | en_US |
dc.creator | Hsiao, P.-Y.;Yeh, C.-W.;Huang, S.-S.;Fu, L.-C. | - |
dc.date.accessioned | 2018-09-10T07:36:45Z | - |
dc.date.available | 2018-09-10T07:36:45Z | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 00189545 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-66149149884&doi=10.1109%2fTVT.2008.2006618&partnerID=40&md5=9146f7522b0fbf9dc8bbece93462a57f | - |
dc.identifier.uri | http://scholars.lib.ntu.edu.tw/handle/123456789/350301 | - |
dc.description.abstract | Lane departure warning systems (LDWS) are an important element in improving driving safety. In this paper, we propose an embedded Advanced RISC Machines (ARM)-based real-time LDWS. As for software development, an improved lane detection algorithm based on peak finding for feature extraction is used to successfully detect lane boundaries. Then, a spatiotemporal mechanism using the detected lane boundaries is designed to generate appropriate warning signals. As for hardware implementation, a 1-D Gaussian smoother and a global edge detector are adopted to reduce noise effects in the images. By using the developed data transfer channel (DTC) in the reconfigurable field-programmable gate array (FPGA) module, the data transfer rate among the complementary metal-oxide-semiconductor (CMOS) imager module, liquid-crystal display (LCD) display module, and central processing unit (CPU) bus is about 25 frame/s for an image size of 256 × 256. In addition, the proposed departure warning algorithm based on spatial and temporal mechanisms is successfully executed on the presented ARM-based platform. The effectiveness of our system concludes that the lane detection rate is 99.57% during the day and 98.88% at night in a highway environment. The proposed departure mechanisms effectively generate effective warning signals and avoid most false warnings. © 2008 IEEE. | - |
dc.language | en | en |
dc.relation.ispartof | IEEE Transactions on Vehicular Technology | - |
dc.source | AH-Scopus to ORCID | - |
dc.subject | Computer vision; Embedded real-time system; Lane departure warning system (LDWS); Lane detection; Smart vehicle; Vanishing point | - |
dc.subject.other | Embedded real-time system; Lane departure warning system (LDWS); Lane detection; Smart vehicle; Vanishing point; Alarm systems; Atmospheric radiation; Computer vision; Data transfer; Data transfer rates; Detectors; Edge detection; Feature extraction; Field programmable gate arrays (FPGA); Hardware; Liquid crystal displays; Metal recovery; Real time systems; Signal detection | - |
dc.title | A portable vision-based real-time lane departure warning system: Day and night | - |
dc.type | journal article | en |
dc.identifier.doi | 10.1109/TVT.2008.2006618 | - |
dc.identifier.scopus | 2-s2.0-66149149884 | - |
dc.relation.pages | 2089 - 2094 | - |
dc.relation.journalvolume | 58 | - |
dc.relation.journalissue | 4 | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Center for Artificial Intelligence and Advanced Robotics | - |
crisitem.author.orcid | 0000-0002-6947-7646 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 資訊工程學系 |
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