Cargando…
A Scalable Framework for Map Matching Based Cooperative Localization
Localization based on scalar field map matching (e.g., using gravity anomaly, magnetic anomaly, topographics, or olfaction maps) is a potential solution for navigating in Global Navigation Satellite System (GNSS)-denied environments. In this paper, a scalable framework is presented for cooperatively...
Autores principales: | Yang, Chizhao, Strader, Jared, Gu, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512796/ https://www.ncbi.nlm.nih.gov/pubmed/34640720 http://dx.doi.org/10.3390/s21196400 |
Ejemplares similares
-
Scalable Science Education via Online Cooperative Questioning
por: Hilton, Courtney B., et al.
Publicado: (2022) -
A mapping framework of competition–cooperation QTLs that drive community dynamics
por: Jiang, Libo, et al.
Publicado: (2018) -
A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
por: Liang, Yanyu, et al.
Publicado: (2021) -
On Scalability of FDD-Based Cell-Free Massive MIMO Framework
por: Hassan, Beenish, et al.
Publicado: (2023) -
Indoor Localization Based on VIO System and Three-Dimensional Map Matching
por: Zhang, Jitong, et al.
Publicado: (2020)