Dynamic and Precise Engineering Surveying

Driven by the increasingly expanding needs of infrastructure construction, operation and maintenance, as well as the rapid developments of intelligent sensing and information technology, precise engineering surveying has been transformed from static, discrete, and manual into dynamic, continuous, and intelligent ways. This transformation leads to an advanced multidisciplinary field, dynamic and precise engineering surveying, on which the author has worked for over two decades. This book systematically summarizes the fundamentals, methods, and applications in dynamic and precise engineering surveying. The contents mainly include two parts: the first part introduces principles and methods of dynamic and precise engineering surveying; the second part presents representative applications in which innovative methods and advanced equipment are applied in the construction, operation and maintenance of mega and complex infrastructures. Readers engaged in surveying and mapping, civil engineering, water conservancy engineering, railway engineering, electronic information, and computer science, including undergraduates, graduates, researchers and engineers, will find it an informative reference. Foreword by Prof. Deren Li Foreword by Prof. Zhenglu Zhang Foreword by Dr. Naser El-Sheimy Preface I Preface II Contents 1 Introduction 1.1 Dynamic and Precise Engineering Surveying 1.1.1 Characteristics of Dynamic and Precise Engineering Surveying 1.1.2 Research Content 1.2 Surveying Modes and Technical Architecture 1.2.1 Surveying Modes 1.2.2 Scientific Questions 1.3 Space and Time Datums 1.3.1 Time Datum 1.3.2 Space Datum 1.3.3 Principles for Positioning 1.4 Integration of Surveying Sensors 1.4.1 Typical Sensors Used in Surveying 1.4.2 Multi-sensor Synchronization 1.4.3 Space and Time Association Between Multi-source Surveying Data 1.5 Multi-source Surveying Data Processing 1.5.1 Surveying Data Type 1.5.2 Framework of Surveying Data Processing 1.5.3 Methods of Surveying Data Processing 1.5.4 Generalized Surveying Data Processing 1.6 Application 1.7 Summary References 2 Structural State Surveying for Transportation Infrastructure 2.1 Overview 2.2 Road Transportation Infrastructure Surveying 2.2.1 Pavement Deflection Surveying 2.2.2 Pavement Distress Detection 2.3 Railway Transportation Infrastructure Surveying 2.3.1 High-Speed Rail Track Surveying 2.3.2 Subway Tunnel Surveying 2.4 Bridge Dynamic Deflection Measurement 2.4.1 Principle of Vision Measurement 2.4.2 Deflection Calculation 2.4.3 Dynamic Monitoring of Bridge Deflection 2.5 Surveying Equipment 2.5.1 Systematic Architecture of the Surveying Equipment 2.5.2 Road Surveying Equipment 2.5.3 Rail Track Surveying Equipment 2.6 Summary References 3 Dynamic Surveying in Autonomous Driving 3.1 Overview 3.2 Car Positioning and Navigation 3.2.1 GNSS/INS Integrated Positioning 3.2.2 In-Vehicle LiDAR Positioning 3.2.3 In-Vehicle Visual Odometry 3.2.4 Multi-sensor Fusion Positioning 3.3 Object Detection in Autonomous Driving 3.3.1 2D Object Detection 3.3.2 Vision-Based 3D Object Detection 3.3.3 LiDAR-Based 3D Object Detection 3.3.4 Vision and LiDAR Fusion Object Detection 3.4 High-Definition Map 3.4.1 HD Map Standard for Autonomous Driving 3.4.2 Production of the HD Map for Autonomous Driving 3.4.3 Applications of HD Map in Autonomous Driving 3.5 Applications 3.5.1 Application in Open-Pit Mines 3.5.2 Application in Various Parks 3.6 Summary References 4 Indoor and Underground Space Measurement 4.1 Overview 4.2 Indoor and Underground Space Positioning 4.2.1 Positioning Based on Smart Terminals 4.2.2 Positioning Based on a Precision INS 4.3 Indoor 3D Mapping 4.3.1 Indoor Mobile 3D Mapping 4.3.2 Indoor Map Update Based on Crowdsourcing Data 4.4 Flatness Detection of Super-Large Concrete Floor 4.4.1 A Rapid Method of Aided-INS Floor Flatness Detection 4.4.2 Testing and Application 4.5 Defect Inspection of Drainage Pipelines 4.5.1 Drainage Pipeline Detection Method Based on a Floating Capsule Robot 4.5.2 The Test and Application of Drainage Pipe Network Detection 4.6 Internal Deformation Measurement of Earth-Rockfill Dam 4.6.1 Internal Deformation Monitoring for Earth-Rockfill Dam via High-Precision Flexible Pipeline Measurements 4.6.2 Experiments and Results 4.7 Summary References 5 UAV 3D Measurement 5.1 Overview 5.2 LiDAR 3D Measurement 5.2.1 LiDAR 3D Measurement System 5.2.2 Processing Method of LiDAR Point Cloud 5.2.3 LiDAR 3D Measurement Applications 5.3 Optimized Views Photogrammetry 5.3.1 View Optimization and Route Generation Method Based on the Rough Model 5.3.2 Accuracy Analysis for Fine Real Scene Modeling 5.3.3 Multi-UAV Collaboration in Optimized View Photogrammetry 5.3.4 Optimized Views Photogrammetry Applications 5.4 Summary References 6 Coastal Zone Surveying 6.1 Overview 6.2 Shipborne Water-Shore Integrated Surveying 6.2.1 Water-Shore Integrated Surveying Technique 6.2.2 Development of a Water-Shore Integrated Measurement System 6.2.3 Application of the Integrated Water-Shore Measurement System 6.3 Airborne Laser Bathymetric Surveying 6.3.1 Airborne Laser Bathymetry Technology 6.3.2 Development of Airborne Laser Bathymetry Equipment 6.3.3 Airborne Laser Bathymetry Data Processing 6.3.4 Airborne LiDAR Bathymetry Application 6.4 Coastal Surface Subsidence InSAR Measurement 6.4.1 Research Status of InSAR Technology 6.4.2 Sequential InSAR Processing Technology 6.4.3 The Interpretation of Sequential InSAR Results 6.4.4 Coastal InSAR Monitoring Application 6.5 Coastal Tide Correction 6.5.1 Research Status of Tidal Correction 6.5.2 Spatial Structure of Ocean Dynamic Water Level 6.5.3 Dynamic Water Level Correction Method 6.5.4 Dynamic Water Level Correction in the Southwestern Yellow Sea 6.6 Summary References 7 Outlook Correction to: Dynamic and Precise Engineering Surveying Correction to: Q. Li, Dynamic and Precise Engineering Surveying, https://doi.org/10.1007/978-981-99-5942-6