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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume IV-2/W4
https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 Sep 2017
| 14 Sep 2017
BIM-BASED INDOOR PATH PLANNING CONSIDERING OBSTACLES
M. Xu
School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory For Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, China
Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing, China
Engineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Beijing, China
S. Wei
School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory For Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, China
Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing, China
Engineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Beijing, China
S. Zlatanova
3D Geoinformation, Department of Urbanism, Faculty of Architecture and The Built Environment, Delft University of Technology, Delft, the Netherlands
R. Zhang
School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory For Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, China
Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing, China
Engineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Beijing, China
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 41–48, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W3, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W3, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, 2017
L. Liu, S. Zlatanova, Q. Zhu, and K. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 343–348, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, 2017
B. R. Staats, A. A. Diakité, R. L. Voûte, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 393–400, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, 2017
N. Grasso, E. Verbree, S. Zlatanova, and M. Piras
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 311–317, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, 2017
L. Díaz-Vilariño, E. Verbree, S. Zlatanova, and A. Diakité
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 345–352, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, 2017
J. Yan, N. Grasso, S. Zlatanova, R. C. Braggaar, and D. B. Marx
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 423–430, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, 2017
S. Zlatanova, P. J. M. Van Oosterom, J. Lee, K.-J. Li, and C. H. J. Lemmen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 257–263, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, 2016
S. Zlatanova, R. Laurini, M. Baucic, M. Rumor, C. Ellul, and V. Coors
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 1–1, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, 2016
Z. Wang, S. Zlatanova, and J. Steenbruggen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 45–49, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, 2016
Man Xu, Shuangfeng Wei, and Sisi Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 339–346, https://doi.org/10.5194/isprs-archives-XLI-B4-339-2016, https://doi.org/10.5194/isprs-archives-XLI-B4-339-2016, 2016
E. Demir Ozbek, S. Zlatanova, S. Ates Aydar, and T. Yomralioglu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 101–108, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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