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内容大纲
世界范围基础设施安全状态测量等领域不断扩大的应用需求,以及传感器等信息技术的快速发展促进精密工程测量从“静态、离散、手工”向“动态、连续、智能”发展,形成动态精密测量这一前沿学科交叉方向。本书基于作者多年的研究探索与积累,对动态精密测量理论、方法及其典型应用进行系统性归纳总结。 -
作者介绍
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目录
1 Introduction
1.1 Introduction of 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 PrinciplesForPositioning
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 SurveyingDataType
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 PavementDistressDetection
2.3 Railway Transportation Infrastructure Surveying
2.3.1 High-Speed RailTrack Surveying
2.3.2 Subway Tunnel Surveying
2.4 Bridge Dynamic Deflection Measurement
2.4.1 PrincipleofVisionMeasurement
2.4.2 Deflection Calculation
2.4.3 Dynamic Monitoring of Bridge Deflection
2.5 SurveyingEquipment
2.5.1 Systematic Architecture of the Surveying Equipment
2.5.2 RoadSurveyingEquipment
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
3.3.12 DObjectDetection
3.3.2 Vision-Based3DObjectDetection
3.3.3 LiDAR-Based3D 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 ProductionoftheHDMapfor Autonomous Driving
3.4.3 Applications of HD Maps in Autonomous Driving
3.5 Applications
3.5.1 Application in Open-Pit Mines
3.5.2 ApplicationinVariousParks
3.6 Summary
References
4 Indoor and Underground Space Measurement
4.1 Overview
4.2 Indoor and Underground Space Positioning
4.2.1 Positioning Basedon Smart Terminals
4.2.2 Positioning Basedona Precision INS
4.3 Indoor3D Mapping
4.3.1 Indoor Mobile3D Mapping
4.3.2 IndoorMapUpdateBasedonCrowdsourcingData
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 forEarth-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 LiDAR3DMeasurement
5.2.1 LiDAR3DMeasurementSystem
5.2.2 Processing Method of LiDAR Point Cloud
5.2.3 LiDAR3D 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 AirborneLaserBathymetricSurveying
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
6.5.2 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
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