The seamless combination of BIM and GIS information provides a powerful support to smart urban planning and management. However, such integration is hindered by several technical limitations that we address with standardised 3D modelling, federated data storage and management, secured data access and efficient data usage. [ More Info ]

The increasing demand for 3D navigation systems requires us to integrate accurate outdoor maps, 3D indoor models and up-to-date Building Information Model (BIM) to the system. Along with it, technology should also be developed to take care of specific requirement of users. Some of the aspects that we aim to achieve with enabled indoor navigation include support for efficient emergency response and inclusion of disabled agents. [ More Info ]

The underground infrastructure is a very complex and heterogeneous system with many different functions, owners and users. Lack of information about underground assets and their links with above ground facilities leads to failures, delayed construction works and extra costs. As a solution to such problems, we propose an integrated 3D representation for information exchange of underground infrastructure that ensures both precision, interoperability and security. [ More Info ]

GRID develops voxel-based data analysis and modelling solutions supporting different sources of point clouds and vector data from GIS and BIM: lines (cables and pipes, above and underground), surfaces, solids (buildings) and volumes (air, water, soil, rock), elongated structures (levees, dams, ducts, tunnels). [ More Info ]

Managing 3D data such as vector, pointcloud and voxel data using Database Management System (DBMS) is challenging. The increasing size of such data makes it difficult to conduct efficient data structuring, querying and indexing while there is no standard schema for storing their attributes yet. Our team of experts proposes a DBMS solution based on PostgresSQL and its extension (e.g. PostGIS, pgPointCloud, etc.) designed in a way to allow more efficient querying and indexing. [ More Info ]

The general scope of this research and developments cover the aspects of identifying the level of semantic information of spatial data required to obtain a suitable input for the indoor disaster response system, structuring of the indoor information through UML-based architecture and space subdivision according to FSS framework. Through the project, various formats of spatial data such as BIM, mesh and points cloud would be taken into account. The FSS framework is in line with IndoorGML standard, providing input data for it. Thus, the indoor disaster response system will always consider consistent data architecture for testing different navigation scenarios. The 3D subdivision process will organize indoor spaces according to their purpose and attributes. [ More Info ]

This project aims to achieve an effective merge between 3D indoor and outdoor data. For this project, the 3D indoor data collection was undertaken by three different scanners such as Leica C5, Leica BLK360 and GeoSlam Zeb-Revo in combination with a GoPro camera. The outdoor scanning involved using a UAV conducting both photogrammetry and LiDAR scanning. Afterwards, the integration between models was performed creating a 3D reality model. [ More Info ]

A 3D model obtained from scanning is an unstructured type of data and needs to be processed to identify points of interest or obstacles and described them. This part involves an evaluation of the current configuration of the studied area regarding its ability to allow navigation for BVI people. After that, this project is going to identify the optimal placement of the localization sensors to maximize their efficiency in supporting navigation and to manage them as they become part of the assets relevant to navigation (landmarks, staircases, emergency exits, etc.).

This project tried to address two of the most challenging issues: the effective integration of BIM and GIS for precinct modelling purposes, and 3D data integration and management. The developments were demonstrated on a relatively small, but complex area, i.e. UNSW Kensington campus. UNSW Estate Management (EM) had been pursuing an innovative concept for 3D information management to support the concept of a “Smart Campus”. In discussions with EM, initial requirements had been identified.

This project investigated: a workflow for a 3D integration and reconstruction of the campus site from different data sources a concept for a 3D spatial data structuring. A prototype 3D workflow was investigated, aiming at the integration of 2D/3D existing data, point clouds (from different platforms), imagery/video (taken from drones or manually), BIM (as-designed and as-built), GIS and PIM. Some of the aspects to be investigated here are: time and effort to collect data, resolution and accuracy, software and file formats, procedure for 3D reconstruction (indoor/outdoor), classification and semantic tagging. [ More Info ]

The aim of this research is to present threat analysis strategies that can be used by built environment disciplines to effectively consider counter-terrorism security as part of an integrated design and development process for crowded public spaces and public buildings.

The research will describe the current counter-terrorism protective security requirements by built environment professionals engaged with creating crowded spaces and public buildings. The research will also develop 3D modelling tools and strategies that can be used to help built environment disciplines more effectively and efficiently make pre-construction planning and design decisions related to safety and security. [ More Info ]

One of the major components of indoor navigation is indoor localisation. A range of methods can be utilised for indoor localisation and most of them require specific sensors to be available in advance. Such methods require significant investments and developments to achieve precise localisation. This research investigates a personalized pedestrian navigation in which low-cost QR (Quick Response) codes are utilized for localisation and path planning.

This project concentrates on three research questions:

  1. Rules for placing QR codes,
  2. automatic method for connecting QR codes into a navigation network, and
  3. personalised pedestrian navigation paths for different use cases.

 

The Virtual City Analytics Lab is a 3D extension of CAL where users can interact in a virtual environment. The platform enables synchronous virtual and physical interaction with GIS content on the web. To achieve this the Unity game engine and a web GIS platform are linked together. The content is presented on interactive panels for users that are physically present in the City Analytics Lab as well as for users that are connected virtually to the platform. In this way students and other participants can work together locally and remotely at the same time on a specific project.

Focussing on 3D representations and their integration with sensors, this project will advance Digital Twin analytics and functionality by demonstrating a technically-robust framework for scalability and deployment, and provide an easy-to-understand web portal including 3D visualisation and information dashboards. Supported by FrontierSI, AURIN, UNSW Research Infrastructure and in collaboration with NSW Spatial Services, Data61, QLD DNRME, Spatialvision and Astrolabe. [ More Info ]

Lots of impressive technical detail in the GitHub documentation

TStCMtEPPPRR4MD-Pilot Study

Nikoohemat, S., A. A. Diakité, V. Lehtola, S. Zlatanova, G. Vosselman, 2020, Consistency grammar for 3D indoor model checking, Transaction in GIS, on-line (doi)

Wang, Y., S. Zlatanova, J. Yan, Z. Huang, Y. Cheng, 2020, Exploring the relationship between spatial morphology characteristics and scenic beauty preference of landscape open space unit by using point clouds, Environment and Planning B: Urban Analytics and City Science, on-line (doi)

Wu, Y., J. Shang,P. Chen, S. Zlatanova, X. Hu and Z. Zhou, 2020, Indoor mapping and modeling by parsing floor plan images, International Journal of Geographical Information Science, on-line (doi)

Wang, Y., Y. Cheng, S. Zlatanova and E. Palazzo, 2020, Identification of physical and visual enclosure of landscape units with the help of point clouds, 2020, Spatial Cognition and Computation, 20(3), pp 257-279 (doi)

Zhou, K., R. Lindenbergh, B. Gorte and S. Zlatanova, 2020, LiDAR-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data, ISPRS Journal of Photogrammetry and Remote Sensing, 162 (2020), 200-213 (link)

Alattas, A., P. Van Oosterom, S. Zlatanova, D. Hoeneveld, E. Verbree, 2020, LADM-IndoorGML for exploring user movements in evacuation exercise, Land Use Policy (link)

Nikoohemat, S. A.A.Diakité, S. Zlatanova and G. Vosselman, 2020 Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management, Automation in Construction, Volume 113, May 2020, 103109 (link)

Li, W., S. Zlatanova, A. A. Diakité, M. Aleksandrov and J. Yan, 2020, Towards Integrating Heterogeneous Data: A Spatial DBMS Solution from a CRC-LCL Project in Australia, ISPRS Int. J. Geo-Inf. 2020, 9(2), 63 (link)

Zlatanova, S., J. Yan, Y. Wang, A. Diakité, U. Isikdag, G. Sithole and J. Barton, 2020, Spaces in Spatial Science and Urban Applications–State of the Art Review, ISPRS Int. J. Geo-Inf. 2020, 9(1), 58; (link)

Diakité, A. and S. Zlatanova, 2020, Automatic geo-referencing of BIM in GIS environments using building footprints, Computers, Environment and Urban Systems, Vol.80, March (link)

Yan, J., A. Diakité, S. Zlatanova, S. and M. Aleksandrov, 2019, Finding Boundaries of Outdoor for 3D Space-based Navigation. Transactions in GIS (doi)

Lee, J., H.S. Jung, S. Zlatanova, B. Pradhan, 2019, Editorial, International Journal of Urban Sciences, vol. 23, pp.301-302 (link)

Liu, Y., M. Aleksandrov, S .Zlatanova, J. Zhang, F. Mo and Xiaojian Chen, 2019, Classification of Power Facility Point Clouds from Unmanned Aerial Vehicles Based on Adaboost and Topological Constraints, Sensors, 19(21) 4717 (link)

Yan J, Diakité A.A., Zlatanova S. A generic space definition framework to support seamless indoor/outdoor navigation systems. Transactions in GIS. 2019;00:1–23 (link)

E. Widyaningrum, B. Gorte and R. C. Lindenbergh, Automatic Building Outline Extraction from ALS Point Clouds by Ordered Points Aided Hough Transform, Remote Sens. 2019, 11(14), p.1727 (link)

Yan, J., A. A. Diakité, S. Zlatanova and M. Aleksandrov, Top-Bounded Spaces Formed by the Built Environment for Navigation Systems, ISPRS Int. J. Geo-Inf. 2019, 8(5), p.224 (link)

Wang, Z. and S. Zlatanova, 2019, Safe Route Determination for First Responders in the Presence of Moving Obstacles, IEEE Transactions on Intelligent Transportations Systems, p.1-19 (link)

Liu, L., S. Zlatanova, B.Li, P van Oosterom, H.Liu, J. Barton, 2019, Indoor Routing on Logical Network Using Space Semantics, ISPRS International Journal of Geo-information 8(3), p.126 (link)

Mortari, F., Clementini, E., Zlatanova, S. and Liu, L., 2019. An indoor navigation model and its network extraction. Applied Geomatics, pp.1-15 (link)

Zhou, K., Lindenbergh, R. and Gorte, B., 2019. Automatic Shadow Detection in Urban Very-High-Resolution Images Using Existing 3D Models for Free Training. Remote Sensing, 11(1), p.72 (link)

Staats, B. R., Diakité, A.A., Voûte, R.L. and Zlatanova, S., 2018. Detection of doors in a voxel model, derived from a point cloud and its scanner trajectory, to improve the segmentation of the walkable space. International Journal of Urban Sciences, pp.1-22 (link)

Olde Scholtenhuis, L. L., X. den Duijn and S. Zlatanova, 2018, Representing geographical uncertainties of utility location data in 3D, Automation in Construction, Vol, 96, December 2018, pp.483-493 (link)

Li, F., S. Zlatanova, M. Koopman, X. Bai, A. Diakité, 2018, Universal path planning for an indoor drone, Automation in construction, vol. 95, November 2018, pp.275-283 (link)

Xu, W., L. Liu, S. Zlatanova, W. Penard, Q. Xiong, 2018, A pedestrian tracking algorithm using grid-based indoor model, Automation in Construction, vol. 92. August 2018, pp.173-187 (link)

Trinder J., S. Zlatanova, J. Jiang, 2018, Editorial to theme section on UN Sustainable Development Goals (SDG), ISPRS Journal of Photogrammetry and Remote Sensing, vol. 142, pp.342-343 (link)

Arroyo Ohori, K., Diakité, A., Krijnen, T., Ledoux, H., & Stoter, J (2018). Processing BIM and GIS models in practice: experiences and recommendations from a GeoBIM project in the Netherlands. ISPRS International Journal of Geo-Information, 7(8), 311 (link)

Li, K.J., Conti, G., Konstantinidis, E., Zlatanova, S. and Bamidis, P., 2019. OGC IndoorGML: A Standard Approach for Indoor Maps. In Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation (pp.187-207) (link)

van Oosterom, P., C. Lemmen, R. Thompson, K. Janecka and S. Zlatanova, 2018, 3D Cadastres Best Practices, Chapter 3: 3D Cadastral Information Modelling, In: Proceedings of the FIG Working Week 2018, Istanbul, pp.42, 2018 (pdf)

Janecka, K., S. Karki, P. van Oosterom, S. Zlatanova, M. Kalantari, T. Ghawana, 2018, 3D Cadastres Best Practices, Chapter 4: 3D Spatial DBMS for 3D Cadastres, In: Proceedings of the FIG Working Week 2018, Istanbul, pp.59, 2018 (link)

Barton, J.E., 2019, Book review: The urban politics of squatters’ movements, Housing Studies (link)

Díaz-Vilariño, L., A. A. Diakité and S. Nikoohemat, 2020-open, 3D Indoor Mappng and Modelling, ISPRS International Journal of Geo-Information (link)

Zlatanova, S., K-S. Kim, and S. A. Shaikh, 2020-open, Artificial Intelligence for 3D Big Spatial Data Processing, Sensors (link)

Li., S, S. Zlatanova, M-A Brovelli and M. Sester, 2018-2019, State-of-the-Art in Spatial Information Science, ISPRS International Journal of Geo-information (link)

Khoshelham, K. and S. Zlatanova, 2018-open, Topical Collection ‘Positioning and Navigation’, Sensors (link)

Paparoditis, N. C. Mallet, F. Lafarge, S. Zlatanova, S. Dragicevic, G. Sithole, G. Agugiaro, J. J. Arsanjani, P. Boguslawski, M. Breunig, M. A. Brovelli, S. Christophe, A. Coltekin, M. R. Delavar, M. Al Doori, E. Guilbert, C. C. Fonte, J. Haworth, U. Isikdag, I. Ivanova, Z. Kang, K. Khoshelham, M. Koeva, M. Kokla, Y. Liu, M. Madden, M. A. Mostafavi, G. Navratil, D. R. Paudyal, C. Pettit, A. Spanò, E. Stefanakis, W. Tu, G. Vacca, L. Díaz-Vilariño, S. Wise, H. Wu, and X. G. Zhou, 2020, Archivers of XXIV ISPRS Congress, Commission IV (Volume XLIII-B4-2020) (link)

Paparoditis, N. C. Mallet, F. Lafarge, S. Zlatanova, S. Dragicevic, G. Sithole, G. Agugiaro, J. J. Arsanjani, P. Boguslawski, M. Breunig, M. A. Brovelli, S. Christophe, A. Coltekin, M. R. Delavar, M. Al Doori, E. Guilbert, C. C. Fonte, J. Haworth, U. Isikdag, I. Ivanova, Z. Kang, K. Khoshelham, M. Koeva, M. Kokla, Y. Liu, M. Madden, M. A. Mostafavi, G. Navratil, D. R. Paudyal, C. Pettit, A. Spanò, E. Stefanakis, W. Tu, G. Vacca, L. Díaz-Vilariño, S. Wise, H. Wu, and X. G. Zhou, 2020, Annals of XXIV ISPRS Congress, Commission IV (Volume V-4-2020) (link)

Ellul, C., A. Abdul Rahman, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor, 2019, 4th International Conference on Smart Data and Smart Cities, ISPRS Annals, Volume IV-4/W9;(pdf)

Zlatanova, S., S. Dragicevic. G. Sithole, 2018, ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”, 1–5 October 2018, Delft, The Netherlands, ISPRS Annals, Volume IV-4 (link)

Zlatanova, S., S. Dragicevic. G. Sithole, 2018, ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”, 1–5 October 2018, Delft, The Netherlands, ISPRS Archives, Volume XLII-4 (link)

Ellul, C., V. Coors, S. Zlatanova, R. Laurini, and M. Rumor, 2018, 3rd International Conference on Smart Data and Smart Cities, 4–5 October 2018, Delft, The Netherlands, Volume IV-4/W7 (link)

Tomko, M., M. van der Vlucht, L. Shorth and S. Zlatanova, 2020, Bushfire communication needs to consider space, time and user experience, Position magazine, February/March, pp.18- 20 (pdf)

Ghawana, T., Aleksandrov, M., and Zlatanova, S.: Navigating indoors in 3D geospatial for disaster risk reduction and response Coordinates, Vol.XV(6), Jun 2019, pp.31-38 (pdf)

Ghawana, T. and S. Zlatanova, 2018, Institutional arrangements and spatial information initiatives for disaster management in international organisations: Compendium, Coordinates Media Pvt Ltd, India, ISBN No. 978-81-908172-2-6 (pdf)

Zlatanova, S., 2018, New geospatial centre: Mapping Sydney’s Infrastructure, Infrastructure, March 2018, Issue 6, pp.56-59 (pdf)

Jia, J., Zlatanova, S., Hawken, S., and Zhang, K. F., 2020, Making smart urban decisions: the niche of a parametric spatial model to balance the method of urban stormwater management and human wellbeing, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4/W2-2020, 79–86 (doi)

Yan, J., Zlatanova, S., and Diakité, A. A., 2020, Two new pedestrian navigation path options based on semi-indoor space, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4/W1-2020, 175–182 (doi)

Sarmiento, A. and Diakité, A. A., 2020, Integration of IOT Sensors to 3D indoor models with IndoorGML, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W1-2020, 135–142 (doi)

Eusuf, M. S. R. S., Barton, J., Gorte, B., and Zlatanova, S., 2020, Volume Estimation of Fuel Load for Hazard Reduction Burning: First Results to a Voxel Approach, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1199–1206 (doi)

Bayat, H., Delavar, M. R., Barghi, W., EslamiNezhad, S. A., Hanachi, P., and Zlatanova, S., 2020, Modelling of Emergency Evacuation in Building Fire, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 321–327 (doi)

Diakité, A. A., Zlatanova, S., Alattas, A. F. M., and Li, K. J., 2020, Towards IndoorGML 2.0: Updates and Case Studies illustrations, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 337–344 (doi)

Zlatanova, S., Dragicevic, S., and Sithole, G., 2020, Preface: Technical Commission IV on Spatial Information Science, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 7–9 (doi)

Zlatanova, S., Dragicevic, S., and Sithole, G., 2020, Preface: Technical Commission IV on Spatial Information Science, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 7–9 (doi)

Sarmiento, A. and Diakité, A. A.: INTEGRATION OF IOT SENSORS TO 3D INDOOR MODELS WITH INDOORGML, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W1-2020, 135–142 doi, 2020.

Yan, J., Zlatanova, S. and Diakité, A. A.: TWO NEW PEDESTRIAN NAVIGATION PATH OPTIONS BASED ON SEMI-INDOOR SPACE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4/W1-2020, 175–182 doi, 2020.

Jia, J., Zlatanova, S., Hawken, S., and Zhang, K. F.: MAKING SMART URBAN DECISIONS: THE NICHE OF A PARAMETRIC SPATIAL MODEL TO BALANCE THE NEEDS OF URBAN STORMWATER MANAGEMENT AND HUMAN WELLBEING, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4/W2-2020, 79–86 (doi), 2020

Gorte, B., Zlatanova, S., and Fadli, F.: Navigation in indroo voxel models, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 279-283, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, 2019 (pdf)

Li, W., S. Zlatanova, J. Yan, A. Diakité, and M. Aleksandrov, 2019, A geo-database solution for the management and analysis of building model with multi-source data fusion. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W20, 55–63, https://doi.org/10.5194/isprs-archives-XLII-4-W20-55-2019, 2019 (pdf)

Alattas, A., P. van Oosterom, S. Zlatanova, 2019, Initial Country Profile of the Kingdom of Saudi Arabia based on LADM, In: Proceedings of the 8th Land Administration Domain Model Workshop (Peter van Oosterom, Christiaan Lemmen, Alias Abdul Rahman, eds.), Kuala Lumpur, pp.319-330 (pdf)

Li, K-J, S. Zlatanova, J. Torres-Sospedra, A Perez-Navarro, C. Laoudias, A. Moreira, 2019, Survey on Indoor Map Standards and Formats, IEEE proceedings of 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp.8 (link)

Yan J, Zlatanova S, Aleksandrov M, Diakité A. A., Pettit C. Integration of 3d Objects and Terrain for 3d Modelling Supporting the Digital Twin. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019 Sep:147-54 (pdf)

Aleksandrov, M., Diakité, A., Yan, J., Li, W., and Zlatanova, S.: SYSTEMS ARCHITECTURE FOR MANAGEMENT OF BIM, 3D GIS AND SENSORS DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W9, 3–10, 2019 (pdf)

Aleksandrov, M., Zlatanova, S., Kimmel, L., Barton, J., and Gorte, B.: VOXEL-BASED VISIBILITY ANALYSIS FOR SAFETY ASSESSMENT OF URBAN ENVIRONMENTS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W8, 11–17, 2019 (pdf)

Gorte, B., Aleksandrov, M., and Zlatanova, S.: TOWARDS EGRESS MODELLING IN VOXEL BUILDING MODELS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W9, 43–47, 2019. (pdf)

Nikoohemat, S., Diakité, A., Zlatanova, S., and Vosselman, G.: INDOOR 3D MODELING AND FLEXIBLE SPACE SUBDIVISION FROM POINT CLOUDS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 285-292, 2019 (link)

Ghawana, T., Aleksandrov, M., and Zlatanova, S.: 3D GEOSPATIAL INDOOR NAVIGATION FOR DISASTER RISK REDUCTION AND RESPONSE IN URBAN ENVIRONMENT, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 49-57, 2018 (link)

Liu, L., Li, B., Zlatanova, S., and Liu, H.: THE PATH FROM BIM TO A 3D INDOOR FRAMEWORK – A REQUIREMENT ANALYSIS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 373-378, 2018 (link)

Fadli, F., Kutty, N., Wang, Z., Zlatanova, S., Mahdjoubi, L., Boguslawski, P., and Zverovich, V.: EXTENDING INDOOR OPEN STREET MAPPING ENVIRONMENTS TO NAVIGABLE 3D CITYGML BUILDING MODELS: EMERGENCY RESPONSE ASSESSMENT, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161-168, 2018 (link)

Yan, J., Diakité, A. A., and Zlatanova, S.: AN EXTRACTION APPROACH OF THE TOP-BOUNDED SPACE FORMED BY BUILDINGS FOR PEDESTRIAN NAVIGATION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 247-254, 2018 (link)

Alattas, A., van Oosterom, P., Zlatanova, S., Hoeneveld, D., and Verbree, E.: USING THE COMBINED LADM-INDOORGML MODEL TO SUPPORT BUIILDING EVACUATION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 11-23, 2018 (link)

Díaz-Vilariño, L., González-deSantos, L., Verbree, E., Michailidou, G., and Zlatanova, S.: FROM POINT CLOUDS TO 3D ISOVISTS IN INDOOR ENVIRONMENTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149-154, 2018 (link)

Gorte, B. G. H., Zhou, K., van der Sande, C. J., and Valk, C.: A COMPUTATIONALLY CHEAP TRICK TO DETERMINE SHADOW IN A VOXEL MODEL, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 67-71, 2018 (link)

den Duijn, X., Agugiaro, G., and Zlatanova, S.: MODELLING BELOW- AND ABOVE-GROUND UTILITY NETWORK FEATURES WITH THE CITYGML UTILITY NETWORK ADE: EXPERIENCES FROM ROTTERDAM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W7, 43-50, 2018 (link)

Alattas, A., S. Zlatanova, P. van Oosterom, Ki-J. Li, 2018, Improved and More Complete Conceptual Model for the Revision of IndoorGML, In: 10th International Conference on Geographic Information Science (GIScience 2018), Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 114, Dagstuhl, Germany, pp.21:1-21:12, 2018 (pdf)

Alattas, A., P. van Oosterom, S. Zlatanova, 2018, Deriving the Technical Model for the Indoor Navigation Prototype based on the Integration of IndoorGML and LADM Conceptual Model, In: Proceedings of the The 7th Land Administration Domain Model Workshop, Zagreb, pp.24, 2018 (pdf)

GRID: Geospatial Research Innovation Development

Built Environment, Level 4, Room 4036

Red Centre West Wing

UNSW Sydney, 2052

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