First navigation with wireless muometric navigation system (MuWNS) in indoor and underground environments.
Autor: | Tanaka HKM; The University of Tokyo, Tokyo, Japan.; International Virtual Muography Institute (VMI), Global, Tokyo, Japan., Gallo G; International Virtual Muography Institute (VMI), Global, Tokyo, Japan.; University of Catania, Catania, Italy., Gluyas J; International Virtual Muography Institute (VMI), Global, Tokyo, Japan.; Durham University, Durham, UK., Kamoshida O; International Virtual Muography Institute (VMI), Global, Tokyo, Japan.; NEC Corporation, Tokyo, Japan., Lo Presti D; International Virtual Muography Institute (VMI), Global, Tokyo, Japan.; University of Catania, Catania, Italy., Shimizu T; International Virtual Muography Institute (VMI), Global, Tokyo, Japan.; Technoland Corporation, Tokyo, Japan., Steigerwald S; International Virtual Muography Institute (VMI), Global, Tokyo, Japan., Takano K; Technoland Corporation, Tokyo, Japan., Yang Y; Peking University, Beijing, China., Yokota Y; The University of Tokyo, Tokyo, Japan.; International Virtual Muography Institute (VMI), Global, Tokyo, Japan. |
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Jazyk: | angličtina |
Zdroj: | IScience [iScience] 2023 May 29; Vol. 26 (7), pp. 107000. Date of Electronic Publication: 2023 May 29 (Print Publication: 2023). |
DOI: | 10.1016/j.isci.2023.107000 |
Abstrakt: | Navigation in indoor and underground environments has been extensively studied to realize automation of home, hospital, office, factory and mining services, and various techniques have been proposed for its implementation. By utilizing the relativistic and penetrative nature of cosmic-ray muons, a completely new wireless navigation technique called wireless muometric navigation system (MuWNS) was developed. This paper shows the results of the world's first physical demonstration of MuWNS used on the basement floor inside a building to navigate (a person) in an area where global navigation satellite system (GNSS)/ global positioning system (GPS) signals cannot reach. The resultant navigation accuracy was comparable or better than the positioning accuracy attainable with single-point GNSS/GPS positioning in urban areas. With further improvements in stability of local clocks used for timing, it is anticipated that MuWNS can be adapted to improve autonomous mobile robot navigation and positioning as well as other underground and underwater practical applications. Competing Interests: The authors declare no competing interests. (© 2023.) |
Databáze: | MEDLINE |
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