3

3D LiDAR

• UAV-Based Collaborative Mapping Framework with Environmental Semantic Extraction, pages 1–7

3D Reconstruction

• Weakly-Textured Cylindrical Object Reconstruction via Multi-View Tangent Dihedral Angle Constraints, pages 231–238

3D point cloud

• Generating Transferable Traffic Object Adversarial 3D Point Clouds via Momentum-based Decompose Perturbation, pages 83–89

A

Aboveground biomass

• Integrating Vegetation Indices and Texture Features from UAV multispectral image for Non-destructive Peanut Aboveground Biomass Estimation, pages 67–73

Adaptive Densification

• GAGS: Gradient-Guided Adaptive Gaussian Splatting for Efficient and Geometry-Regularized Surface Reconstruction, pages 59–66

Adaptive Kernel

• Enhancing Rotation Averaging and Global Positioning by an Adaptive Robust Kernel, pages 19–25

Adversarial attack

• Generating Transferable Traffic Object Adversarial 3D Point Clouds via Momentum-based Decompose Perturbation, pages 83–89

Adversarial transferability

• Generating Transferable Traffic Object Adversarial 3D Point Clouds via Momentum-based Decompose Perturbation, pages 83–89

Airborne LiDAR data

• Boundary-Constrained Supervoxel Clustering for Tree Segmentation in Broadleaf Forests, pages 179–186

Autonomous driving

• HD Map in the Loop Framework for End-to-End Autonomous Driving, pages 43–50
• PosiFusion: A Vehicle-to-Everything Cooperative Perception Framework with Positional Prior Fusion, pages 115–122

artificial intelligence

• Automated Detection and Mapping of Pavement Cracks from Videos for Road Inspections, pages 99–106

B

BIM

• High resolution 3D data for Pavement Condition Assessment in a Digital Twin perspective, pages 123–131

Bidirectional Feature Pyramid Network

• Identification and Counting of Field Peanut Seedlings Using Improved Centernet from UAV imagery, pages 173–178

Binocular Stereo Vision System

• Joint Calibration Method of Thermal Infrared-Visible Based on Cross Modal Feature Matching, pages 139–145

C

Calibration

• Joint Calibration Method of Thermal Infrared-Visible Based on Cross Modal Feature Matching, pages 139–145

Circumferential dislocation

• Dislocation detection of shield tunnel segments under non-uniform deformation conditions using RMLS point clouds, pages 195–204

Close-range Photogrammetry

• Research on Dam Inspection Method Based on Close-range Photogrammetry, pages 187–194

Coarse registration

• Cross-source Registration of Point Clouds in Urban Scenes using Structured Features, pages 91–98

Coarse-to-fine correspondences

• Coarse-to-fine Point Cloud Registration Based on Superpoint Overlap Prediction, pages 147–154

Collaborative Mapping

• UAV-Based Collaborative Mapping Framework with Environmental Semantic Extraction, pages 1–7

Component localization

• A Method for Detecting Hidden Faults in Power Lines by Combining Visible and Thermal Infrared Images, pages 107–114

Computer Vision

• Research on Dam Inspection Method Based on Close-range Photogrammetry, pages 187–194

Contrastive Loss

• Identification and Counting of Field Peanut Seedlings Using Improved Centernet from UAV imagery, pages 173–178

Cooperative perception

• PosiFusion: A Vehicle-to-Everything Cooperative Perception Framework with Positional Prior Fusion, pages 115–122

Cross Modal

• Joint Calibration Method of Thermal Infrared-Visible Based on Cross Modal Feature Matching, pages 139–145

Cross-source Point cloud

• Cross-source Registration of Point Clouds in Urban Scenes using Structured Features, pages 91–98

Cylindrical Object

• Weakly-Textured Cylindrical Object Reconstruction via Multi-View Tangent Dihedral Angle Constraints, pages 231–238

crack detection

• Automated Detection and Mapping of Pavement Cracks from Videos for Road Inspections, pages 99–106

D

Dam Safety Monitoring

• Research on Dam Inspection Method Based on Close-range Photogrammetry, pages 187–194

Dam leakage

• Dam leakage detection based on unmanned aerial vehicle multi-sensor, pages 161–166

Deep Learning

• Research on Dam Inspection Method Based on Close-range Photogrammetry, pages 187–194

Digital elevation model

• High-throughput plant height measurement for the field peanuts from low-cost UAV photogrammetry, pages 133–138

Digital surface model

• High-throughput plant height measurement for the field peanuts from low-cost UAV photogrammetry, pages 133–138

Dihedral Angle

• Weakly-Textured Cylindrical Object Reconstruction via Multi-View Tangent Dihedral Angle Constraints, pages 231–238

Disaster Emergency Management

• Dam leakage detection based on unmanned aerial vehicle multi-sensor, pages 161–166

Dislocation detection

• Dislocation detection of shield tunnel segments under non-uniform deformation conditions using RMLS point clouds, pages 195–204

Drone Inspection

• Research on Dam Inspection Method Based on Close-range Photogrammetry, pages 187–194

deep learning

• Automated Detection and Mapping of Pavement Cracks from Videos for Road Inspections, pages 99–106

E

Environmental Semantics

• UAV-Based Collaborative Mapping Framework with Environmental Semantic Extraction, pages 1–7

F

Feature matching

• To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models, pages 35–42

G

GIS Technology

• Simulation and Feature Analysis of Road Carbon Emissions in Wuhan Based on Random Forest, pages 167–172

GNSS

• A Tightly Coupled LiDAR/IMU/GNSS Navigation System Based on GNSS NLOS Correction, pages 213–221

Gaussian Splatting

• GAGS: Gradient-Guided Adaptive Gaussian Splatting for Efficient and Geometry-Regularized Surface Reconstruction, pages 59–66

Gaussian distribution

• Channel Extraction and Geometric Parameters Measurement Based on Point Clouds, pages 205–212

Geometric parameters measurement

• Channel Extraction and Geometric Parameters Measurement Based on Point Clouds, pages 205–212

Geometry Regularization

• GAGS: Gradient-Guided Adaptive Gaussian Splatting for Efficient and Geometry-Regularized Surface Reconstruction, pages 59–66

Global Positioning

• Enhancing Rotation Averaging and Global Positioning by an Adaptive Robust Kernel, pages 19–25

H

HD map

• HD Map in the Loop Framework for End-to-End Autonomous Driving, pages 43–50

Height measurement

• High-throughput plant height measurement for the field peanuts from low-cost UAV photogrammetry, pages 133–138

Hidden faults

• A Method for Detecting Hidden Faults in Power Lines by Combining Visible and Thermal Infrared Images, pages 107–114

High-throughput phenotyping monitoring

• Integrating Vegetation Indices and Texture Features from UAV multispectral image for Non-destructive Peanut Aboveground Biomass Estimation, pages 67–73

Human in the loop

• HD Map in the Loop Framework for End-to-End Autonomous Driving, pages 43–50

handcrafted features

• To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models, pages 35–42

I

IMU

• A Tightly Coupled LiDAR/IMU/GNSS Navigation System Based on GNSS NLOS Correction, pages 213–221

Image processing

• Dam leakage detection based on unmanned aerial vehicle multi-sensor, pages 161–166

Image registration

• A Method for Detecting Hidden Faults in Power Lines by Combining Visible and Thermal Infrared Images, pages 107–114

Imitation learning

• HD Map in the Loop Framework for End-to-End Autonomous Driving, pages 43–50

Individual tree segmentation

• Boundary-Constrained Supervoxel Clustering for Tree Segmentation in Broadleaf Forests, pages 179–186

Indoor Positioning

• A Particle Filtering-Based Magnetic Field Map Generation Method Using Smartphones, pages 9–17

Intelligent driving

• Generating Transferable Traffic Object Adversarial 3D Point Clouds via Momentum-based Decompose Perturbation, pages 83–89

L

LiDAR

• An improved multi-rule region growing method for point cloud segmentation of rock structural planes, pages 155–160
• A Tightly Coupled LiDAR/IMU/GNSS Navigation System Based on GNSS NLOS Correction, pages 213–221

LiDAR Point Cloud

• High resolution 3D data for Pavement Condition Assessment in a Digital Twin perspective, pages 123–131

LiDAR SLAM

• LiDAR SLAM Global Positioning Uncertainty Estimation Based on Lie Group and MHSS theory, pages 75–81

LiDAR place recognition

• LPR-Mate: A Lightweight Universal Reranking-based Optimizer for LiDAR Place Recognition in Challenging Environments, pages 223–230

Lie Group theory

• LiDAR SLAM Global Positioning Uncertainty Estimation Based on Lie Group and MHSS theory, pages 75–81

LoD2

• To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models, pages 35–42

Localization enhancement

• LPR-Mate: A Lightweight Universal Reranking-based Optimizer for LiDAR Place Recognition in Challenging Environments, pages 223–230

learnable features

• To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models, pages 35–42

low-cost

• Automated Detection and Mapping of Pavement Cracks from Videos for Road Inspections, pages 99–106

M

MHSS

• LiDAR SLAM Global Positioning Uncertainty Estimation Based on Lie Group and MHSS theory, pages 75–81

Machine Learning

• Simulation and Feature Analysis of Road Carbon Emissions in Wuhan Based on Random Forest, pages 167–172

Magnetic Field Map Generation

• A Particle Filtering-Based Magnetic Field Map Generation Method Using Smartphones, pages 9–17

Magnetic Field Matching

• A Particle Filtering-Based Magnetic Field Map Generation Method Using Smartphones, pages 9–17

Mobile Mapping System

• High resolution 3D data for Pavement Condition Assessment in a Digital Twin perspective, pages 123–131

Motion Averaging

• Enhancing Rotation Averaging and Global Positioning by an Adaptive Robust Kernel, pages 19–25

Multi sensor

• Dam leakage detection based on unmanned aerial vehicle multi-sensor, pages 161–166

Multi-Source Fusion

• A Tightly Coupled LiDAR/IMU/GNSS Navigation System Based on GNSS NLOS Correction, pages 213–221

Multi-rule Region Growing Proceedings

• An improved multi-rule region growing method for point cloud segmentation of rock structural planes, pages 155–160

Multimodal

• Autonomous Semantic Mapping for SLAM Systems, pages 51–57

N

NLOS

• A Tightly Coupled LiDAR/IMU/GNSS Navigation System Based on GNSS NLOS Correction, pages 213–221

Novel Class Discovery

• A Feature-Driven Approach to Semantic Segmentation in Large-Scale 3D Urban Dataset, pages 27–33

O

Object detection

• Identification and Counting of Field Peanut Seedlings Using Improved Centernet from UAV imagery, pages 173–178

Overlap prediction

• Coarse-to-fine Point Cloud Registration Based on Superpoint Overlap Prediction, pages 147–154

P

Particle Filtering

• A Particle Filtering-Based Magnetic Field Map Generation Method Using Smartphones, pages 9–17

Point Cloud

• A Feature-Driven Approach to Semantic Segmentation in Large-Scale 3D Urban Dataset, pages 27–33

Point Cloud Segmentation

• An improved multi-rule region growing method for point cloud segmentation of rock structural planes, pages 155–160

Point cloud registration

• Coarse-to-fine Point Cloud Registration Based on Superpoint Overlap Prediction, pages 147–154

Point clouds

• Channel Extraction and Geometric Parameters Measurement Based on Point Clouds, pages 205–212

Positioning uncertainty

• LiDAR SLAM Global Positioning Uncertainty Estimation Based on Lie Group and MHSS theory, pages 75–81

Power line inspection

• A Method for Detecting Hidden Faults in Power Lines by Combining Visible and Thermal Infrared Images, pages 107–114

Pre-embedded channel

• Channel Extraction and Geometric Parameters Measurement Based on Point Clouds, pages 205–212

pavement inspection

• Automated Detection and Mapping of Pavement Cracks from Videos for Road Inspections, pages 99–106

peanut population

• High-throughput plant height measurement for the field peanuts from low-cost UAV photogrammetry, pages 133–138

R

RGB Camera

• Joint Calibration Method of Thermal Infrared-Visible Based on Cross Modal Feature Matching, pages 139–145

Radial dislocation

• Dislocation detection of shield tunnel segments under non-uniform deformation conditions using RMLS point clouds, pages 195–204

Rail-borne mobile laser scanning

• Dislocation detection of shield tunnel segments under non-uniform deformation conditions using RMLS point clouds, pages 195–204

Random Forest

• Simulation and Feature Analysis of Road Carbon Emissions in Wuhan Based on Random Forest, pages 167–172

Real-time

• Autonomous Semantic Mapping for SLAM Systems, pages 51–57

Reinforcement learning

• HD Map in the Loop Framework for End-to-End Autonomous Driving, pages 43–50

Reranking optimization

• LPR-Mate: A Lightweight Universal Reranking-based Optimizer for LiDAR Place Recognition in Challenging Environments, pages 223–230

Road CO2 Concentration

• Simulation and Feature Analysis of Road Carbon Emissions in Wuhan Based on Random Forest, pages 167–172

Road asset management

• High resolution 3D data for Pavement Condition Assessment in a Digital Twin perspective, pages 123–131

Road pavement condition

• High resolution 3D data for Pavement Condition Assessment in a Digital Twin perspective, pages 123–131

Robust Optimization

• Enhancing Rotation Averaging and Global Positioning by an Adaptive Robust Kernel, pages 19–25

Rock Structural Planes

• An improved multi-rule region growing method for point cloud segmentation of rock structural planes, pages 155–160

Rotation Averaging

• Enhancing Rotation Averaging and Global Positioning by an Adaptive Robust Kernel, pages 19–25

road crack mapping

• Automated Detection and Mapping of Pavement Cracks from Videos for Road Inspections, pages 99–106

S

SLAM

• UAV-Based Collaborative Mapping Framework with Environmental Semantic Extraction, pages 1–7
• Autonomous Semantic Mapping for SLAM Systems, pages 51–57

Scene Understanding

• A Feature-Driven Approach to Semantic Segmentation in Large-Scale 3D Urban Dataset, pages 27–33

Seedling emergence rate

• Identification and Counting of Field Peanut Seedlings Using Improved Centernet from UAV imagery, pages 173–178

Segment joint location

• Dislocation detection of shield tunnel segments under non-uniform deformation conditions using RMLS point clouds, pages 195–204

Segmentation

• Autonomous Semantic Mapping for SLAM Systems, pages 51–57

Semantic Mapping

• Autonomous Semantic Mapping for SLAM Systems, pages 51–57

Semantic Segmentation

• A Feature-Driven Approach to Semantic Segmentation in Large-Scale 3D Urban Dataset, pages 27–33

Spatial consistency

• LPR-Mate: A Lightweight Universal Reranking-based Optimizer for LiDAR Place Recognition in Challenging Environments, pages 223–230

Structural Plane Extraction

• An improved multi-rule region growing method for point cloud segmentation of rock structural planes, pages 155–160

Structure-from-Motion

• Enhancing Rotation Averaging and Global Positioning by an Adaptive Robust Kernel, pages 19–25

Structured Features

• Cross-source Registration of Point Clouds in Urban Scenes using Structured Features, pages 91–98

Subtropical broadleaf forests

• Boundary-Constrained Supervoxel Clustering for Tree Segmentation in Broadleaf Forests, pages 179–186

Superpoint matching

• Coarse-to-fine Point Cloud Registration Based on Superpoint Overlap Prediction, pages 147–154

Supervoxel clustering optimization

• Boundary-Constrained Supervoxel Clustering for Tree Segmentation in Broadleaf Forests, pages 179–186

Surface Reconstruction

• GAGS: Gradient-Guided Adaptive Gaussian Splatting for Efficient and Geometry-Regularized Surface Reconstruction, pages 59–66

T

Texture Feature

• Integrating Vegetation Indices and Texture Features from UAV multispectral image for Non-destructive Peanut Aboveground Biomass Estimation, pages 67–73

Thermal Infrared Camera

• Joint Calibration Method of Thermal Infrared-Visible Based on Cross Modal Feature Matching, pages 139–145

Thermal infrared images

• A Method for Detecting Hidden Faults in Power Lines by Combining Visible and Thermal Infrared Images, pages 107–114

Total station

• Channel Extraction and Geometric Parameters Measurement Based on Point Clouds, pages 205–212

Traffic Carbon Emissions

• Simulation and Feature Analysis of Road Carbon Emissions in Wuhan Based on Random Forest, pages 167–172

textured CityGML models

• To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models, pages 35–42

U

UAV

• UAV-Based Collaborative Mapping Framework with Environmental Semantic Extraction, pages 1–7

UAV imagery

• Identification and Counting of Field Peanut Seedlings Using Improved Centernet from UAV imagery, pages 173–178

UAV multispectral images

• Integrating Vegetation Indices and Texture Features from UAV multispectral image for Non-destructive Peanut Aboveground Biomass Estimation, pages 67–73

UAV photogrammetry

• High-throughput plant height measurement for the field peanuts from low-cost UAV photogrammetry, pages 133–138

UAV surveying and mapping

• Dam leakage detection based on unmanned aerial vehicle multi-sensor, pages 161–166

Ultrahigh-resolution RGB imagery

• Boundary-Constrained Supervoxel Clustering for Tree Segmentation in Broadleaf Forests, pages 179–186

Urban Infrastructures

• High resolution 3D data for Pavement Condition Assessment in a Digital Twin perspective, pages 123–131

Urban Scene

• Cross-source Registration of Point Clouds in Urban Scenes using Structured Features, pages 91–98

V

V2X

• PosiFusion: A Vehicle-to-Everything Cooperative Perception Framework with Positional Prior Fusion, pages 115–122

Vegetation Indices

• Integrating Vegetation Indices and Texture Features from UAV multispectral image for Non-destructive Peanut Aboveground Biomass Estimation, pages 67–73

visual localization

• To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models, pages 35–42

W

Weakly-textured Surface

• Weakly-Textured Cylindrical Object Reconstruction via Multi-View Tangent Dihedral Angle Constraints, pages 231–238