Cargando…
Semantic VPS for Smartphone Localization in Challenging Urban Environments
Accurate smartphone-based outdoor localization systems in deep urban canyons are increasingly needed for various IoT applications. As smart cities have developed, building information modeling (BIM) has become widely available. This article, for the first time, presents a semantic Visual Positioning...
Autores principales: | Lee, Max Jwo Lem, Hsu, Li-Ta, Ng, Hoi-Fung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468406/ https://www.ncbi.nlm.nih.gov/pubmed/34577344 http://dx.doi.org/10.3390/s21186137 |
Ejemplares similares
-
Skymask Matching Aided Positioning Using Sky-Pointing Fisheye Camera and 3D City Models in Urban Canyons
por: Lee, Max Jwo Lem, et al.
Publicado: (2020) -
Real-Time Loosely Coupled 3DMA GNSS/Doppler Measurements Integration Using a Graph Optimization and Its Performance Assessments in Urban Canyons of New York
por: Ng, Hoi-Fung, et al.
Publicado: (2022) -
Passive Sensor Integration for Vehicle Self-Localization in Urban Traffic Environment †
por: Gu, Yanlei, et al.
Publicado: (2015) -
Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments
por: Zhang, Hengyuan, et al.
Publicado: (2023) -
Smartphone GPS accuracy study in an urban environment
por: Merry, Krista, et al.
Publicado: (2019)