Zobrazeno 1 - 10
of 32
pro vyhledávání: '"B. Anbaroğlu"'
Autor:
B. Anbaroğlu, H. B. Karabay
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 37-43 (2024)
Research on handheld LiDAR data has recently been proliferated due to the emergence of digital twins and indoor mapping. However, most of the existing studies cannot be reproduced in another computational environment. Computational reproducibility re
Externí odkaz:
https://doaj.org/article/5711f2c3dfd84c7c9181477762e9a845
Autor:
B. Anbaroğlu, Y. Alter
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W3-2022, Pp 21-27 (2022)
Trajectory data constitute location of objects at specified time intervals. The continuous availability of GNSS signals, or discrete availability of sensor systems such as license plate recognition cameras are used to generate trajectory data. Conseq
Externí odkaz:
https://doaj.org/article/51d898084dae4e32b4be126ee5494168
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-4-W3-2020, Pp 53-60 (2020)
This paper investigates the use of Augmented Reality (AR) in pedestrian wayfinding in two aspects. First, an experiment was conducted to understand whether an AR-based mobile platform improves finding the direction of a query destination compared to
Externí odkaz:
https://doaj.org/article/846ff17b629a44c58becd669eb4401d5
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 221-227 (2020)
Mobile spatial data collection is one of the major tasks carried out under the United Nations (UN) to quantify targets of various Sustainable Development Goals (SDGs). Even though there are readily available proprietary solutions to ease mobile spati
Externí odkaz:
https://doaj.org/article/eeabc5253d63485385a27d1c12304d1f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 449-454 (2020)
One of the common problems at the intersection of geographical information science and transportation science is the estimation of origin-destination (OD) matrices. The emergence of sensor technologies offers unprecedented opportunities in this regar
Externí odkaz:
https://doaj.org/article/6cd47424a7cd4136b3575b2c69df4950
K-NEAREST NEIGHBOUR QUERY PERFORMANCE ANALYSES ON A LARGE SCALE TAXI DATASET: POSTGRESQL VS. MONGODB
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 1531-1538 (2019)
The increasing volume of transport network data necessitates the use of a DataBase Management System (DBMS) to store, query and analyse data. There are two main types of DBMS: relational and non-relational. Many different DBMS are available on the ma
Externí odkaz:
https://doaj.org/article/bfd824e8cc634ecb89b8e7ba6a601954
Autor:
B. Anbaroğlu
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4-W4, Pp 73-79 (2017)
This vision paper addresses the challenges and explores the avenue of solutions regarding the use of Unmanned Aerial Systems (UAS) for transporting parcels in urban areas. We have already witnessed companies’ delivering parcels using UAS in rural a
Externí odkaz:
https://doaj.org/article/41a6872deb8445cd800c845be31fc050
Akademický článek
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Conference
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