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Visual Odometry and Place Recognition Fusion for Vehicle Position Tracking in Urban Environments

In this paper, we address the problem of vehicle localization in urban environments. We rely on visual odometry, calculating the incremental motion, to track the position of the vehicle and on place recognition to correct the accumulated drift of visual odometry, whenever a location is recognized. T...

詳細記述

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Ouerghi, Safa, Boutteau, Rémi, Savatier, Xavier, Tlili, Fethi
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5948842/
https://ncbi.nlm.nih.gov/pubmed/29565310
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18040939
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