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City RANSAC / Zurich / / Company Cambridge University Press / Google / Wyeth / Matternet / / Country Switzerland / / / Event Product Recall / Product Issues / / Facility University of Zurich / / IndustryTerm image-search techniques / image pairing algorithm / virtual-view generation algorithm / placerecognition systems / search technique / e-f / air-ground search scenario / ego-motion-estimation devices / server-based search engines / 4G network / search algorithms / conventional image-search algorithms / image-search algorithms / air-ground matching algorithm / robotic applications / ground visual search algorithms / hand-held mobile devices / air-ground-matching algorithm / airground matching algorithm / localization algorithms / proposed air-ground matching algorithm / image-warping algorithm / computing / image search / camera-equipped car / localization algorithm / Visual-search techniques / recognition algorithms / nearest neighbor search / / Organization Cambridge University / idf / Artificial Intelligence Lab / University of Zurich / National Centre of Competence / Swiss National Science Foundation / / Person W. Churchill / Yves Albers-Schoenberg / / Product Virtual / Nr / rate / rate4 / / Technology air-ground-matching algorithm / GPS / localization algorithms / 8-point algorithm / image-search algorithms / Image Processing / B. Bag-of-words search algorithms / presented algorithm / localization algorithm / mobile devices / FABMAP7 algorithm / image-warping algorithm / image pairing algorithm / conventional image-search algorithms / proposed air-ground matching algorithm / Machine Vision / matching algorithm / proposed algorithm / artificial intelligence / fourth algorithm / airground matching algorithm / RANSAC-like algorithms / air-ground matching algorithm / http / recognition algorithms / ground visual search algorithms / second algorithm / virtual-view generation algorithm / ORSA algorithm / / URL http / SocialTag 
MAV Urban Localization from Google Street View Data Andr´as L. Majdik, Yves Albers-Schoenberg, Davide Scaramuzza Abstract— We tackle the problem of globally localizing a camera-equipped micro aerial vehicle flying wit