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E-raamat: Seamless 3D Navigation in Indoor and Outdoor Spaces [Taylor & Francis e-raamat]

(Delft University of Technology, The Netherlands),
  • Formaat: 176 pages, 19 Tables, black and white; 28 Line drawings, color; 101 Line drawings, black and white; 48 Halftones, black and white; 28 Illustrations, color; 149 Illustrations, black and white
  • Ilmumisaeg: 21-Nov-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003281146
Teised raamatud teemal:
  • Taylor & Francis e-raamat
  • Hind: 147,72 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 211,02 €
  • Säästad 30%
Seamless 3D Navigation in Indoor and Outdoor SpacesSuurem pilt
  • Formaat: 176 pages, 19 Tables, black and white; 28 Line drawings, color; 101 Line drawings, black and white; 48 Halftones, black and white; 28 Illustrations, color; 149 Illustrations, black and white
  • Ilmumisaeg: 21-Nov-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003281146
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9781003281146
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.
Preface ix
About the Authors xi
Chapter 1 Introduction
1(20)
1.1 Navigation Concepts
1(2)
1.2 Current Attempts on Seamless Navigation
3(3)
1.3 Notions and Terminology
6(12)
1.3.1 Five Existing Concepts
6(5)
1.3.2 Six New Terms for Built Structures
11(4)
1.3.3 Five New Terms for Space
15(3)
1.4 Book Overview
18(3)
Chapter 2 Spaces for Seamless Navigation
21(24)
2.1 Space Definitions
21(4)
2.2 Space Classification
25(6)
2.2.1 Living Environments
25(1)
2.2.2 Indoor & Outdoor
26(1)
2.2.3 Semi-bounded Spaces
27(3)
2.2.4 Four Examples of Space Classification and Definition Framework
30(1)
2.3 Space Representation
31(4)
2.3.1 BReps
32(1)
2.3.2 Voxels
32(1)
2.3.3 Examples of Space Geometric Representations
33(2)
2.4 A Generic Spaces Definition Framework
35(9)
2.4.1 Descriptive Definition
35(2)
2.4.2 Quantitative Definitions
37(1)
2.4.3 Illustration of the Generic Space Definition Framework
38(6)
2.5 Summary
44(1)
Chapter 3 Space-based Navigation Models
45(18)
3.1 Navigation Network
45(4)
3.1.1 The Poincare Duality Theory
46(1)
3.1.2 Approaches for 2D Navigation Network Derivation
46(2)
3.1.3 Approaches for 3D Navigation Network Derivation
48(1)
3.2 International Standards Related to Navigation
49(4)
3.2.1 Indoor GML
49(2)
3.2.2 Industry Foundation Classes (IFC)
51(1)
3.2.3 CityGML
51(2)
3.3 Navigation Network Derivation for QR Code-based Indoor Navigation
53(6)
3.3.1 QR Code-based Indoor Navigation
53(2)
3.3.2 Indoor Scene Classification
55(2)
3.3.3 Space Subdivision and Navigation Network Derivation
57(1)
3.3.4 Dummy Nodes and Extended Navigation Network
58(1)
3.4 Summary
59(4)
Chapter 4 Unified Space-based Navigation Model
63(8)
4.1 Requirements to a Unified Space-based Navigation Model
63(1)
4.2 Conceptual Model of Unified 3D Space-based Navigation Model (U3DSNM)
64(2)
4.3 Technical Model: Python Classes
66(1)
4.4 Map to IndoorGML and CityGML
66(3)
4.5 Discussion
69(1)
4.6 Summary
69(2)
Chapter 5 Three New Path Options
71(16)
5.1 Current Research on Navigation Path
71(1)
5.2 Two New si-space Related Navigation Path
72(8)
5.2.1 Parameters
72(2)
5.2.2 MTC-path
74(1)
5.2.3 NSI-path
75(1)
5.2.4 A Path Selection Strategy
76(1)
5.2.5 Illustration of the Two Path Options
77(3)
5.3 ITSP-Path
80(5)
5.3.1 Concepts and Modeling
82(1)
5.3.2 Procedures of ITSP-path Planning
82(1)
5.3.3 Illustration
83(2)
5.4 Summary
85(2)
Chapter 6 Reconstruction of 3D Navigation Spaces
87(28)
6.1 Semi-indoor Space Reconstruction
87(7)
6.1.1 Identification & Ordering of Proper Building Components
88(1)
6.1.2 Determination of Top and Bottom & Space Generation
88(2)
6.1.3 Space Trimming
90(1)
6.1.4 Illustration
90(1)
6.1.5 Algorithms
91(3)
6.2 Semi-outdoor & Outdoor Reconstruction
94(6)
6.2.1 Extract Object Footprints
94(1)
6.2.2 Classify Semi-outdoor and Outdoor
95(1)
6.2.3 Reconstruct 3D spaces
96(1)
6.2.4 Illustration
96(1)
6.2.5 Algorithms
97(3)
6.3 Building Shells Reconstruction
100(11)
6.3.1 Compute TIC by Projecting Footprints onto the Terrain
101(1)
6.3.2 Set Height and Create Sides
101(1)
6.3.3 Generate Top and Bottom to Reconstruct Building Shells
102(1)
6.3.4 Rebuild Terrain Considering TIC as Constraints
102(1)
6.3.5 Illustration
102(3)
6.3.6 Algorithm
105(2)
6.3.7 Other Possible Approaches of Building Shells Reconstruction
107(1)
6.3.7.1 Footprints + Point Cloud
107(1)
6.3.7.2 3D building model + DTM
108(2)
6.3.7.3 3D building model + Point Cloud
110(1)
6.3.7.4 Point Cloud
111(1)
6.4 Summary
111(4)
Chapter 7 Implementation & Case Study
115(26)
7.1 Data, Software, and Flowchart for Implementation
115(3)
7.2 Space Classification and Reconstruction
118(4)
7.3 Space Selection and Navigation Network Derivation
122(2)
7.4 Path Planning and Comparison of Results
124(6)
7.4.1 Examples of Seamless Navigation
124(2)
7.4.2 Example of MTC-path & NSI-path
126(3)
7.4.3 Comparison of Results
129(1)
7.5 Example of ITSP-path
130(9)
7.5.1 Data Preprocessing
130(1)
7.5.2 Navigation Network Derivation
131(4)
7.5.3 ITSP-path Planning
135(4)
7.6 Summary
139(2)
Chapter 8 Conclusion and Recommendations
141(10)
8.1 Conclusion
141(1)
8.2 Conclusion on Topics
142(2)
8.2.1 Environments
142(1)
8.2.2 Spaces Representation
143(1)
8.2.3 Unified Navigation Model and Path Options
143(1)
8.3 Discussion
144(2)
8.4 Recommendations for Further Research
146(5)
8.4.1 Extend the Definition of Spaces
146(1)
8.4.2 Space Subdivision Application
147(1)
8.4.3 Include Obstacles in Path Planning
147(1)
8.4.4 Evaluate the Navigation Performance
147(1)
8.4.5 Extend the Results to Other Fields
148(1)
8.4.6 Reconstruct Spaces Based on Other Data Source
148(1)
8.4.7 Investigate Space Accessibility
149(1)
8.4.8 Develop and Evaluate New Navigation Path Options
150(1)
Papers Related to this Book 151(2)
References 153(18)
Index 171
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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