This book presents the current research on space-based navigation models and the contents of spaces used for seamless indoor and outdoor navigation. It elaborates on 3D spaces reconstructed automatically and how indoor, semi-indoor, semi-outdoor, and outdoor spaces can mimic the indoor environments and originate a network based on the 3D connectivity of spaces. Case studies help readers understand theories, approaches, and models, including data preparation, space classification and reconstruction, space selection, unified space-based navigation model derivation, path planning, and comparison of results.
Features:
- Provides novel models, theories, and approaches for seamless indoor and outdoor navigation path planning
- Includes real-life case studies demonstrating the most feasible approaches today
- Presents a generic space definition framework that can be used in research areas for spaces shaped by built structures
- Develops a unified 3D space-based navigation model that allows the inclusion of all types of spaces as 3D spaces and utilizes them for seamless navigation in a unified way
Intended to motivate further research and developments, this book suits students, researchers, and practitioners in the field, and serves as a helpful introductory text for readers wanting to engage in seamless indoor/outdoor navigation research and teaching.
Presents the current research on space-based navigation models and the contents of spaces used for seamless navigation based on 3D spaces. Case studies illustrate theories, approaches, and models, including space classification and reconstruction, unified space-based navigation model derivation, path planning, and comparison of results.
1 Introduction. 2 Spaces for Seamless Navigation. 3 Space-based Navigation Models. 4 Unified Space-based Navigation Model. 5 Four New Path Options. 6 Reconstruction of 3D Spaces. 7 Implementation and Case Studies. 8 Conclusion and Recommendations.
Jinjin Yan is an Associate Professor at the College of Intelligent Systems Science and Engineering, Harbin Engineering University, China. In 2020, he received his PhD degree from the Faculty of Built Environment, UNSW, Australia. He was a member of the Geospatial, Research, Innovation and Development (GRID) lab in UNSW. His research is on 3D modeling (indoor, outdoor, semi-indoor, and semi-outdoor), 3D space-based navigation, 3D analysis, 3D space subdivision, seamless indoor and outdoor navigation, BIM and GIS integration.
Sisi Zlatanova is a Professor at the Faculty of Built Environment, UNSW, Sydney, Australia and is leading the GRID Lab. She received her PhD degree from Graz University of Technology, Austria. She has worked as a software developer and has held academic positions at the University of Architecture and Civil Engineering, Sofia, Bulgaria, at Delft University of Technology, the Netherlands, and at Siberian State University of Geo-information Technology, Novosibirsk, Russia. She is the current president of ISPRS Technical Commission IV 'Spatial Information Science' and co-chair of the OGC SWG IndoorGML.
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