Evidence map›Paper›PMID 37534132›Full record

ArticleiScience2023

First navigation with wireless muometric navigation system (MuWNS) in indoor and underground environments.

Hiroyuki K M Tanaka, Giuseppe Gallo, Jon Gluyas, Osamu Kamoshida, Domenico Lo Presti, Takashi Shimizu, Sara Steigerwald, Koji Takano, Yucheng Yang, Yusuke Yokota and 1 more

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hiroyuki K M TanakaThe University of Tokyo, Tokyo, Japan.
Giuseppe GalloInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Jon GluyasInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Osamu KamoshidaInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Domenico Lo PrestiInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Takashi ShimizuInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Sara SteigerwaldInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Koji TakanoTechnoland Corporation, Tokyo, Japan.
Yucheng YangPeking University, Beijing, China.
Yusuke YokotaThe University of Tokyo, Tokyo, Japan.
muPS Collaboration

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Navigation systemParticle physics instrumentationProperties of specific particles

Identifiers

PMID37534132
PMCPMC10391674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.