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Collaborative SLAM with Crowdsourced Data

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자료유형E-Book
개인저자Huai, Jianzhu.
단체저자명The Ohio State University. Civil Engineering.
서명/저자사항Collaborative SLAM with Crowdsourced Data.
발행사항[S.l.] : The Ohio State University., 2017
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2017
형태사항245 p.
소장본 주기School code: 0168.
ISBN9780438091016
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Dorota Grejner-Brzezinska.
요약Navigation from one place to another involves estimating location and orientation. As such, navigation and location-based services are essential to our daily lives. Prevalent navigation techniques rely on integrating global navigation satellite
요약This problem is approached at three aspects in this work: collaborative SLAM with crowdsourced visual data, calibrating a camera-IMU (inertial measurement unit) sensor system found on mobile devices, and collaborative SLAM with crowdsourced visu
요약For the first aspect, a collaborative SLAM framework is proposed based on the client-server architecture. It has independent clients estimating the device motion using the visual data from mobile devices. The output from these clients is process
요약For the second aspect, a calibration approach based on the extended Kalman filter (EKF) is developed for the camera-IMU system of a mobile device. Aimed at target-free on-the-fly calibration, this approach estimates the intrinsic parameters of b
요약The calibration approach provides essential parameters for integrating visual and inertial data which is the highlight of the third aspect. There the collaborative SLAM framework is extended to work with visual and inertial data. While keeping s
요약In summary, these research efforts have proved that accurate and effective collaborative SLAM is achievable with crowdsourced data at the level that has not been demonstrated before. It represents a step towards location-based services which har
일반주제명Civil engineering.
Computer engineering.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15000197

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