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카메라-라이다 센서 융합을 위한 캘리브레이션 기법 소개

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dc.contributor.author배종욱-
dc.contributor.author이영우-
dc.contributor.author고준호-
dc.contributor.author이재영-
dc.contributor.author최준원-
dc.date.accessioned2022-12-20T06:12:28Z-
dc.date.available2022-12-20T06:12:28Z-
dc.date.issued2022-10-
dc.identifier.issn1225-6382-
dc.identifier.issn2234-0149-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172972-
dc.description.abstractIn autonomous vehicles or robots, multiple sensors are used to achieve robust performance in a variety of perception tasks. Multi-sensor calibration is required to establish a spatial correspondence between different sensor coordinates. Camera-LiDAR calibration calculates the external parameters for transforming the representation of sensor data between the camera and LiDAR domains. In this paper, several camera-LiDAR calibration methods are reviewed and their practical applications are discussed. We demonstrate the application of the checkerboard-based camera-LiDAR calibration to a military armed vehicle equipped with Velodyne VLP-32C LiDAR sensor and Kaya Iron SDI 265 camera. We present the experimental results and discuss the practical tips for camera-LiDAR calibration.-
dc.format.extent10-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국자동차공학회-
dc.title카메라-라이다 센서 융합을 위한 캘리브레이션 기법 소개-
dc.title.alternativeMulti-Sensor Calibration Techniques for Camera-LiDAR Sensor Fusion-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.7467/KSAE.2022.30.10.849-
dc.identifier.scopusid2-s2.0-85142356672-
dc.identifier.bibliographicCitation한국자동차공학회 논문집, v.30, no.10, pp 849 - 858-
dc.citation.title한국자동차공학회 논문집-
dc.citation.volume30-
dc.citation.number10-
dc.citation.startPage849-
dc.citation.endPage858-
dc.identifier.kciidART002879771-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorAutonomous driving-
dc.subject.keywordAuthorSensor fusion-
dc.subject.keywordAuthorCalibration-
dc.subject.keywordAuthorDeep-learning-
dc.subject.keywordAuthorCamera-
dc.subject.keywordAuthorLiDAR-
dc.subject.keywordAuthor자율주행-
dc.subject.keywordAuthor센서융합-
dc.subject.keywordAuthor캘리브레이션-
dc.subject.keywordAuthor딥러닝-
dc.subject.keywordAuthor카메라-
dc.subject.keywordAuthor라이다-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11139945-
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서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

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