Zobrazeno 1 - 10
of 1 348
pro vyhledávání: '"D. Acharya"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 297-302 (2024)
City-model spatial Digital Twins are a three-dimensional virtual self-updating twin of a city which is updated by real-time data. This paper explores the effectiveness of open-source data and tools that can generate a Digital Twin to be hosted on a d
Externí odkaz:
https://doaj.org/article/7f887e6cddc44b5e9e6a12ea04303973
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 279-286 (2023)
Several methods exist that can be used to perform initial alignment of Building information models (BIMs) to the real building for Mixed Reality (MR) applications, such as marker-based or markerless visual methods, but this alignment is susceptible t
Externí odkaz:
https://doaj.org/article/6c356809d6ac450e9c792f552a524822
Autor:
D. Acharya, K. Khoshelham
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 453-460 (2023)
Synthetic images have been used to mitigate the scarcity of annotated data for training deep learning approaches, followed by domain adaptation that reduces the gap between synthetic and real images. One such approach is using Generative Adversarial
Externí odkaz:
https://doaj.org/article/86220b5df9a846d6a1e307a6f26562fb
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 541-547 (2020)
Indoor localization, navigation and mapping systems highly rely on the initial sensor pose information to achieve a high accuracy. Most existing indoor mapping and navigation systems cannot initialize the sensor poses automatically and consequently t
Externí odkaz:
https://doaj.org/article/22abd6e7893347b993c61eab8f4229b4
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 207-211 (2020)
Automated 3D reconstruction of indoor environments from point clouds has been a topic of intensive research in recent years. Different methods developed for the generation of 3D indoor models have achieved promising results on different case studies.
Externí odkaz:
https://doaj.org/article/96633048ff5e47b59d9d093cbd13e51b
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 805-810 (2019)
Existing indoor mapping systems have limitations in terms of time efficiency and flexibility in complex environments. While backpack and handheld systems are more flexible and can be used for mapping multi-storey buildings, in some application scenar
Externí odkaz:
https://doaj.org/article/19db3d18ca814e29aabe07e15e448eec
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W5, Pp 247-254 (2019)
Many current indoor localisation approaches need an initial location at the beginning of localisation. The existing visual approaches to indoor localisation perform a 3D reconstruction of the indoor spaces beforehand, for determining this initial loc
Externí odkaz:
https://doaj.org/article/99c4492dcfe8491ca93bbf64e8b5f929
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4, Pp 297-302 (2018)
Despite recent progress in the development of methods for automated reconstruction of indoor models, a comparative performance evaluation of these methods is not available due to the lack of publicly available benchmark datasets and a common evaluati
Externí odkaz:
https://doaj.org/article/e906ced903dd47cf988a2afc5aaefa07
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W7, Pp 367-372 (2017)
Automated generation of 3D indoor models from point cloud data has been a topic of intensive research in recent years. While results on various datasets have been reported in literature, a comparison of the performance of different methods has not be
Externí odkaz:
https://doaj.org/article/68dce21c8570416687cd1af077d9594a
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W4, Pp 371-376 (2017)
Indoor positioning is a fundamental requirement of many indoor location-based services and applications. In this paper, we explore the potential of low-cost and widely available visual and inertial sensors for indoor positioning. We describe the Visu
Externí odkaz:
https://doaj.org/article/532d0c89b83f4c39b353e50e0f25e344