Zobrazeno 1 - 8
of 8
pro vyhledávání: '"İ. B. Coşkun"'
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
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::ece48faee54533d6a8851f5913a46700
https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-53-2020
https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-53-2020
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f532ab4ec8192b0b42f108ed1ab83c
https://doi.org/10.5194/isprs-archives-xliii-b4-2020-449-2020
https://doi.org/10.5194/isprs-archives-xliii-b4-2020-449-2020
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fdf57e9f2112632d618f415bd5f006d
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1531/2019/isprs-archives-XLII-2-W13-1531-2019.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1531/2019/isprs-archives-XLII-2-W13-1531-2019.pdf
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::9280b69fe013918d817f0b5e98735edb
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/221/2020/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/221/2020/
