DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Ahn, Seungyoung | - |
dc.contributor.advisor | 안승영 | - |
dc.contributor.author | Jung, Kiback | - |
dc.date.accessioned | 2021-05-12T19:32:34Z | - |
dc.date.available | 2021-05-12T19:32:34Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=901490&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/283780 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 조천식녹색교통대학원, 2020.2,[iii, 31 p. :] | - |
dc.description.abstract | For the last decade, autonomous and electric vehicle market grow rapidly. Vehicle paradigm has been changing from vehicle based on internal combustion engine to vehicle based on artificial intelligence and electric motor. This paradigm shift also increased the expectation on autonomous parking and charging system. However, vehicle localization method using GPS can not be used especially indoor parking process. There should be a solution to help vehicle localization even when car is indoor. This dissertation proposed a novel vehicle localization method using magnetic field, which is used in vehicle’s wireless charging system. The whole system is verified using simulation and machine learning algorithm. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Autonomous driving▼aWireless charging▼aLocalization▼aMagnetic field▼aMachine learning▼aAutonomous parking | - |
dc.subject | 자율주행▼a무선충전▼a측위▼a자기장▼a머신러닝▼a자율주차 | - |
dc.title | Vehicle localization using magnetic field for auto parking system | - |
dc.title.alternative | 자율 주차 시스템을 위한 자기장 활용 차량 측위 방법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :조천식녹색교통대학원, | - |
dc.contributor.alternativeauthor | 정기백 | - |
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