SLAM in Dynamic Environments: A Deep Learning Approach for Moving Object Tracking Using ML-RANSAC Algorithm

The important problem of Simultaneous Localization and Mapping (SLAM) in dynamic environments is less studied than the counterpart problem in static settings. In this paper, we present a solution for the feature-based SLAM problem in dynamic environments. We propose an algorithm that integrates SLAM...

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Detalles Bibliográficos
Autores principales: Bahraini, Masoud S., Rad, Ahmad B., Bozorg, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749210/
https://www.ncbi.nlm.nih.gov/pubmed/31454925
http://dx.doi.org/10.3390/s19173699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749210/
https://www.ncbi.nlm.nih.gov/pubmed/31454925
http://dx.doi.org/10.3390/s19173699

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