Real-time Lane Keeping Assistant System on Raspberry Pi
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Winserng Chee | - |
dc.contributor.author | Phooi Yee Lau | - |
dc.contributor.author | Park,Sungkwon | - |
dc.date.accessioned | 2021-07-30T05:10:22Z | - |
dc.date.available | 2021-07-30T05:10:22Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2017-12 | - |
dc.identifier.issn | 2287-5255 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3424 | - |
dc.description.abstract | Automotive electronics has rapidly expanded its focus to include deploying systems for safety, infotainment, and driver assistance in modern vehicles. Many such systems for collision avoidance and road recognition were deployed as the active safety system, which aims to assist drivers while on the road. In this work, we present a framework that provides real-time warnings in automobiles. The proposed framework consists of (1) a Raspberry Pi development board, a camera, two light-emitting diodes (LEDs), and a buzzer in the Raspberry Pi deployment (RPD) module, and (2) a lane departure warning system in the lane keeping assistant system (LKAS) module. Experimental results show that the LKAS module is able to (1) track different lane markings (left and right) on the road, and (2) alert the driver when the vehicle drifts out of the lane without intention. Experimental results also show that the proposed RPD module is practical, flexible, and low-cost, and can (1) embed the LKAS module, and (2) using LEDs and a medium-loud beeping sound, alert the driver in real-time when the vehicle drifts from the lane. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 대한전자공학회 | - |
dc.title | Real-time Lane Keeping Assistant System on Raspberry Pi | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park,Sungkwon | - |
dc.identifier.doi | 10.5573/IEIESPC.2017.6.6.379 | - |
dc.identifier.bibliographicCitation | IEIE Transactions on Smart Processing & Computing, v.6, no.6, pp.379 - 382 | - |
dc.relation.isPartOf | IEIE Transactions on Smart Processing & Computing | - |
dc.citation.title | IEIE Transactions on Smart Processing & Computing | - |
dc.citation.volume | 6 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 379 | - |
dc.citation.endPage | 382 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002302399 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | Video analysis | - |
dc.subject.keywordAuthor | Lane detection | - |
dc.subject.keywordAuthor | Raspberry Pi | - |
dc.subject.keywordAuthor | Driving assistant | - |
dc.subject.keywordAuthor | Real-time system | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07286662&language=ko_KR&hasTopBanner=true | - |
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