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Robust Stereo Visual Odometry Using Improved RANSAC-Based Methods for Mobile Robot Localization

In this paper, we present a novel approach for stereo visual odometry with robust motion estimation that is faster and more accurate than standard RANSAC (Random Sample Consensus). Our method makes improvements in RANSAC in three aspects: first, the hypotheses are preferentially generated by samplin...

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Publicado en:Sensors (Basel)
Main Authors: Liu, Yanqing, Gu, Yuzhang, Li, Jiamao, Zhang, Xiaolin
Formato: Artigo
Idioma:Inglês
Publicado: MDPI 2017
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5677260/
https://ncbi.nlm.nih.gov/pubmed/29027935
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17102339
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