Smartphone-based indoor map construction: principles and applications
Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Singapore
Springer
[2018]
|
| Schriftenreihe: | Springerbriefs in computer science
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030458433&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Aus dem Vorwort: "This book is based on Dr. Ruipeng Gao's PhD thesis co-supervised by Professors Jason Cong, Guojie Luo, and Fan Ye." |
| Umfang: | ix, 109 Seiten Illustrationen |
| ISBN: | 9789811083778 |
Internformat
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Datensatz im Suchindex
| _version_ | 1819378286339293184 |
|---|---|
| adam_text | Contents
1 Introduction of Indoor Map Construction.......................... . 1
1.1 Introduction................................................... 1
Reference......................................................... 2
2 Indoor Map Construction via Mobile Crowdsensing.................... 3
2.1 Introduction................................................... 3
2.2 Design Overview................................................ 5
2.3 Landmark Modeling.............................................. 6
2.3.1 The Landmark Model.................................... 6
2.3.2 Coordinates of Geometric Vertices....................... 8
2.3.3 Connecting Points of Wall Segments...................... 9
2.3.4 Example................................................. 9
2.4 Landmark Placement............................................ 10
2.4.1 Notations.............................................. 10
2.4.2 Spatial Relation Acquisition........................... 10
2.4.3 Problem Formulation.................................... 12
2.4.4 Optimization Algorithm................................. 13
2.5 Map Augmentation............................................ 14
2.5.1 Wall Reconstruction.................................... 14
2.5.2 Hallway Reconstruction................................. 17
2.5.3 Room Reconstruction.................................... 18
2.6 Connection Area Detection................................... 19
2.6.1 Types of Connection Areas.............................. 19
2.6.2 Features ............................................ 21
2.6.3 Unsupervised Classification............................ 21
2.6.4 Refinement and Placement............................... 22
2.6.5 Types of Connection Areas.............................. 22
2.7 Performance................................................... 24
Vll
Contents
viii
2.8 Discussion..................................................... 26
2.9 Related Work................................................... 27
2.10 Conclusion..................................................... 28
References........................................................... 29
3 Incremental Indoor Map Construction with a Single User............. 31
3.1 Introduction................................................... 31
3.2 Overview....................................................... 33
3.3 Localization via a Single Image................................ 33
3.4 Trajectory Calibration and Cleaning............................ 36
3.4.1 Trajectory Calibration.................................. 37
3.4.2 Trajectory Cleaning..................................... 38
3.5 Map Fusion Framework........................................... 39
3.5.1 Dynamic Bayesian Network................................ 39
3.5.2 Particle Filter Algorithm............................... 40
3.6 Landmark Recognition........................................... 42
3.7 Compartment Estimation...................................... 43
3.8 Performance.................................................... 45
3.9 Discussion..................................................... 46
3.10 Related Work................................................... 47
3.11 Conclusion..................................................... 48
References........................................................... 48
4 Indoor Localization by Photo-Taking of the Environment............. 51
4.1 Introduction................................................... 51
4.2 Relative Position Measurement.................................. 54
4.3 Triangulation Method........................................... 57
4.3.1 User Operations and Location Computation. . ............ 57
4.3.2 Criteria for Users to Choose Reference Objects.......... 59
4.3.3 Robustness of the Localization Primitive................ 60
4.4 Site Survey for Reference Objects Coordinates.................. 63
4.4.1 Location Estimation in Unmapped Environments............ 64
4.4.2 Experiments on Site Survey.............................. 65
4.5 Identifying Chosen Reference Objects........................... 66
4.5.1 System Architecture and Workflow........................ 67
4.6 Benchmark Selection of Reference Objects ...................... 69
4.6.1 Benchmark Selection Problem . .......................... 69
4.6.2 NP-Completeness Proof.................................. 70
4.6.3 A Heuristic Algorithm................................... 71
4.7 Improve Localization with Geographical Constraints............. 72
4.7.1 Experiment Results and Problems in Early Prototype .... 73
4.7.2 Geographical Constraints................................ 74
4.7.3 System Localization Performance......................... 75
4.8 Discussion..................................................... 76
Contents
IX
4.9 Related Work.................................................... 77
4.10 Conclusion...................................................... 78
References............................................................ 79
5 Smartphone-Based Real-Time Vehicle Tracking in Indoor
Parking Structures.................................................... 81
5.1 Introduction.................................................... 81
5.2 Design Overview................................................. 84
5.3 Trajectory Tracing.............................................. 85
5.3.1 Conventional Approaches.................................. 85
5.3.2 Shadow Trajectory Tracing................................ 86
5.3.3 Equivalence Proof........................................ 88
5.4 Real-Time Tracking.............................................. 92
5.4.1 Intuition................................................ 92
5.4.2 Road Skeleton Model.................................... 93
5.4.3 Probabilistic Tracking Framework......................... 94
5.4.4 Tracking Algorithms...................................... 95
5.5 Landmark Detection.............................................. 98
5.5.1 Types of Landmarks....................................... 98
5.5.2 Feature and Classification Algorithm.................... 100
5.5.3 Prediction and Rollback................................. 101
5.6 Performance.................................................... 101
5.7 Discussion................................................... 104
5.8 Related Work................................................... 105
5.9 Conclusions.................................................... 107
References........................................................... 107
|
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| id | DE-604.BV045066952 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:17:08Z |
| institution | BVB |
| isbn | 9789811083778 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030458433 |
| oclc_num | 1047444778 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | ix, 109 Seiten Illustrationen |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Springer |
| record_format | marc |
| series2 | Springerbriefs in computer science |
| spellingShingle | Gao, Ruiping Ye, Fan Luo, Guo-Jie Cong, Jason Smartphone-based indoor map construction principles and applications Navigationsinstrument (DE-588)4171349-7 gnd Benutzerorientierung (DE-588)4391852-9 gnd Innenraum (DE-588)4161787-3 gnd |
| subject_GND | (DE-588)4171349-7 (DE-588)4391852-9 (DE-588)4161787-3 |
| title | Smartphone-based indoor map construction principles and applications |
| title_auth | Smartphone-based indoor map construction principles and applications |
| title_exact_search | Smartphone-based indoor map construction principles and applications |
| title_full | Smartphone-based indoor map construction principles and applications Ruipeng Gao, Fan Ye, Guojie Luo, Jason Cong |
| title_fullStr | Smartphone-based indoor map construction principles and applications Ruipeng Gao, Fan Ye, Guojie Luo, Jason Cong |
| title_full_unstemmed | Smartphone-based indoor map construction principles and applications Ruipeng Gao, Fan Ye, Guojie Luo, Jason Cong |
| title_short | Smartphone-based indoor map construction |
| title_sort | smartphone based indoor map construction principles and applications |
| title_sub | principles and applications |
| topic | Navigationsinstrument (DE-588)4171349-7 gnd Benutzerorientierung (DE-588)4391852-9 gnd Innenraum (DE-588)4161787-3 gnd |
| topic_facet | Navigationsinstrument Benutzerorientierung Innenraum |
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