Zobrazeno 1 - 10
of 7 156
pro vyhledávání: '"Dead-reckoning"'
Autor:
Barley, Stephen R. (AUTHOR) sbarley@ucsb.edu
Publikováno v:
Administrative Science Quarterly. Jun2024, Vol. 69 Issue 2, pNP37-NP39. 3p.
Autor:
Walton, Anthony
Publikováno v:
New Yorker. 7/22/2024, Vol. 100 Issue 21, p52-53. 2p.
Publikováno v:
TransNav: International Journal on Marine Navigation & Safety of Sea Transportation. Jun2024, Vol. 18 Issue 2, p369-374. 6p.
Autor:
Marie-Caroline Prima, Mathieu Garel, Pascal Marchand, James Redcliffe, Luca Börger, Florian Barnier
Publikováno v:
Movement Ecology, Vol 12, Iss 1, Pp 1-18 (2024)
Abstract Background Network theory is largely applied in real-world systems to assess landscape connectivity using empirical or theoretical networks. Empirical networks are usually built from discontinuous individual movement trajectories without kno
Externí odkaz:
https://doaj.org/article/fbc2685c42ca4ec8a8f7ca513e75947d
Autor:
Wildenberg, Thomas
Publikováno v:
Air Power History. Fall2021, Vol. 68 Issue 3, p35-40. 6p.
Autor:
WANG Taiji
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 6, Pp 103-111 (2024)
In response to the problems of cumulative errors in step size estimation and the large sample size required by traditional deep learning methods in the pedestrian dead reckoning (PDR) based underground personnel positioning system in coal mines, a st
Externí odkaz:
https://doaj.org/article/d54f60aafd1644178a7bb606fe1b6731
Publikováno v:
Geo-spatial Information Science, Pp 1-17 (2024)
ABSTRACTPedestrian Dead Reckoning (PDR) plays an important role in multi-sensor fusion of indoor positioning due to its autonomy and continuity advantages. The robustness of PDR significantly impacts indoor positioning accuracy, but various pedestria
Externí odkaz:
https://doaj.org/article/97708158c98f4b2fab7a3ca01a578b3c
Autor:
Kacper Bereszyński, Marcin Pelic, Wojciech Paszkowiak, Stanisław Pabiszczak, Adam Myszkowski, Krzysztof Walas, Grzegorz Czechmanowski, Jan Węgrzynowski, Tomasz Bartkowiak
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34967- (2024)
This article introduces passive wheels as the new localization system for automated guided vehicles (AGVs). The article focuses on investigating the accuracy of the proposed system and comparing with other widely used solutions: rotary encoders coupl
Externí odkaz:
https://doaj.org/article/fe4547a678274cb598ab518a7ed1b5ca
Autor:
Yoo, Sung Sic1 (AUTHOR), Kabir, Humayun2 (AUTHOR), Lee, Heung-Shik1 (AUTHOR) jsheung@joongbu.ac.kr
Publikováno v:
Journal of Mechanical Science & Technology. Jan2023, Vol. 37 Issue 1, p163-168. 6p.
Publikováno v:
IEEE Access, Vol 12, Pp 124718-124728 (2024)
An increasing number of stride length estimation (SLE) algorithms adopt deep learning due to its ability to automatically learn complex nonlinearities in the data. However, datasets with true stride length are small in size, posing a threat to networ
Externí odkaz:
https://doaj.org/article/f23d53906cc44167b3e259620d34e53e