Pregled bibliografske jedinice broj: 1271226
On GPS L1 Positioning Errors’ Prediction Possibilities using Ground Truth Data: Preliminary Results and Feasibility Verification
On GPS L1 Positioning Errors’ Prediction Possibilities using Ground Truth Data: Preliminary Results and Feasibility Verification // Book of Extended Abstracts: 16th Baška GNSS Conference: Technologies, Techniques and Applications Across PNT and The 3rd Workshop on Smart, Blue and Green Maritime Technologies / Brčić, David ; Valčić, Marko ; Kos, Serđo ; Kegalj, Jana (ur.).
Rijeka: Pomorski fakultet Sveučilišta u Rijeci, 2023. str. 35-42 (poster, međunarodna recenzija, prošireni sažetak, znanstveni)
CROSBI ID: 1271226 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On GPS L1 Positioning Errors’ Prediction
Possibilities using Ground Truth Data: Preliminary
Results and Feasibility Verification
Autori
Brčić, David ; Krljan, Tomislav ; Kos, Serđo ; Valčić, Sanjin
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
Book of Extended Abstracts: 16th Baška GNSS Conference: Technologies, Techniques and Applications Across PNT and The 3rd Workshop on Smart, Blue and Green Maritime Technologies
/ Brčić, David ; Valčić, Marko ; Kos, Serđo ; Kegalj, Jana - Rijeka : Pomorski fakultet Sveučilišta u Rijeci, 2023, 35-42
Skup
16th Baška GNSS Conference: Technologies, Techniques and Applications Across PNT and The 3rd Workshop on Smart, Blue and Green Maritime Technologies
Mjesto i datum
Baška, Hrvatska, 14.05.2023. - 18.05.2023
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
error prediction ; global positioning system ; ground truth data ; machine learning ; positioning deviations ; satellite positioning ; statistical modelling
Sažetak
This research represents the preliminary phase of the investigation of positioning error prediction possibilities based on ground truth data from GNSS reference stations. The preliminary results confirmed known facts, namely the similarities in positioning deviations, i.e. that satellite positioning performing equally or similarly in the relatively small area. The motivation for this research is to build a comprehensive satellite positioning environment with known influencing factors and satellite positioning performance. The aim is to develop a methodology for definition of distance limits within which positioning deviations can be applied to surrounding areas. To this end, several machine learning algorithms have been introduced. The contributions of this work relate to further efforts and research towards boundarization of valid corrections in terms of distance.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
--uniri-technic - Istraživanje okolišnih utjecaja na rad satelitskih navigacijskih sustava u pomorskoj navigaciji (Brčić, David) ( CroRIS)
Ustanove:
Pomorski fakultet, Rijeka
