Solving Monocular Visual Odometry Scale Factor with Adaptive Step Length Estimates for Pedestrians Using Handheld Devices

The urban environments represent challenging areas for handheld device pose estimation (i.e., 3D position and 3D orientation) in large displacements. It is even more challenging with low-cost sensors and computational resources that are available in pedestrian mobile devices (i.e., monocular camera...

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Detalles Bibliográficos
Autores principales: Antigny, Nicolas, Uchiyama, Hideaki, Servières, Myriam, Renaudin, Valérie, Thomas, Diego, Taniguchi, Rin-ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412422/
https://www.ncbi.nlm.nih.gov/pubmed/30813452
http://dx.doi.org/10.3390/s19040953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412422/
https://www.ncbi.nlm.nih.gov/pubmed/30813452
http://dx.doi.org/10.3390/s19040953

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