Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bradley J. Panckhurst"'
Autor:
Andrew Martin, Matthew Parry, Andy W. R. Soundy, Bradley J. Panckhurst, Phillip Brown, Timothy C. A. Molteno, Daniel Schumayer
Publikováno v:
Sensors, Vol 20, Iss 20, p 5913 (2020)
We provide algorithms for inferring GPS (Global Positioning System) location and for quantifying the uncertainty of this estimate in real time. The algorithms are tested on GPS data from locations in the Southern Hemisphere at four significantly diff
Externí odkaz:
https://doaj.org/article/80228c05d15140eab87b7a03a2950db9
Autor:
Phillip Brown, Bradley J. Panckhurst, Matthew Parry, T. C. A. Molteno, Daniel Schumayer, Andy W. R. Soundy, A. D. Martin
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 20
Sensors, Vol 20, Iss 5913, p 5913 (2020)
Sensors
Volume 20
Issue 20
Sensors, Vol 20, Iss 5913, p 5913 (2020)
We provide algorithms for inferring GPS (Global Positioning System) location and for quantifying the uncertainty of this estimate in real time. The algorithms are tested on GPS data from locations in the Southern Hemisphere at four significantly diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6070104934deb180f1c8df5fab987167
https://pubmed.ncbi.nlm.nih.gov/33092018
https://pubmed.ncbi.nlm.nih.gov/33092018
Autor:
Daniel Schumayer, Bradley J. Panckhurst, Phillip Brown, Andy W. R. Soundy, T. C. A. Molteno, A. D. Martin
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 21
Sensors
Volume 20
Issue 21
We recorded the time series of location data from stationary, single-frequency (L1) GPS positioning systems at a variety of geographic locations. The empirical autocorrelation function of these data shows significant temporal correlations. The Gaussi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cf854f9a08ce3d218a5eef2cf4d3a27
https://pubmed.ncbi.nlm.nih.gov/33114285
https://pubmed.ncbi.nlm.nih.gov/33114285
Autor:
Andy W. R. Soundy, Matthew Parry, Daniel Schumayer, C. P. Brown, A. D. Martin, T. C. A. Molteno, Bradley J. Panckhurst
Publikováno v:
2017 IEEE SENSORS.
We develop Bayesian algorithms to perform realtime positioning and uncertainty quantification on Global Positioning System (GPS) data. We test the algorithms on GPS data from several global locations and score their predictions using the log-score. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d64ba42562dfb347da61ce019dcec8a
https://doi.org/10.1109/icsens.2017.8233899
https://doi.org/10.1109/icsens.2017.8233899
Publikováno v:
SAS
Advances in animal tracking technology allow for improvement in farm resource management, animal welfare and the possibility of an overall reduction in running costs. We describe a light-weight solar-powered position sensor tag for livestock and a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89cedffc3f51e5ea309c5ce369a94d9a
https://doi.org/10.1109/sas.2015.7133590
https://doi.org/10.1109/sas.2015.7133590
Publikováno v:
ICARA
We analyze GPS position recordings, and show that they have long term autocorrelation functions. The traditional approach of assuming Gaussian uncertainties is therefore potentially problematic. We suggest some alternative noise models such as the Or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41073c3020b78437678d6b6bd18dfd62
https://doi.org/10.1109/icara.2015.7081121
https://doi.org/10.1109/icara.2015.7081121