2

2D-3D projection

• Semantic-Consistent 3D Reconstruction via Gaussian Splatting and SAM-Guided Annotation, pages 185–192

3

3D GIS

• Implementation of an automated georeferencing workflow for architectural elements in GIS using ML and Cloud Computing, pages 27–33

3D Gaussian Splatting

• OneStep-GSPE: an Efficient 3D Gaussian Splatting Based Image Pose Estimation, pages 53–60
• HyGS-TDOM: A Hybrid Gaussian Splatting Famework for generating TDOMs from both dense and sparse views, pages 139–146
• Semantic-Consistent 3D Reconstruction via Gaussian Splatting and SAM-Guided Annotation, pages 185–192

3D Reconstruction

• Surveys on feed-forward 3R methods for high-resolution photogrammetric images via image divide-and-conquer strategy, pages 109–116

3D database

• Fast survey methods and tools for historical city center: a review, pages 45–51

3D mapping

• Object localization and change detection in urban environments using dashcam videos, pages 169–176

3D models

• Implementation of an automated georeferencing workflow for architectural elements in GIS using ML and Cloud Computing, pages 27–33

3D reconstruction

• Research on 3D Virtual Scene Reconstruction and Application Based on Multi-source Data Fusion, pages 117–123

3D urban morphology

• A training-free method for estimating the relative height of buildings, pages 7–12

3D virtual campus

• Research on 3D Virtual Scene Reconstruction and Application Based on Multi-source Data Fusion, pages 117–123

3R methods

• Surveys on feed-forward 3R methods for high-resolution photogrammetric images via image divide-and-conquer strategy, pages 109–116

A

Accuracy assessment

• Sensor integration for the documentation and planned maintenance of Cultural Heritage, pages 85–92

B

Bird’s Eye View

• BEV Space LiDAR-Camera Fusion Methods Based on Attention Driven Feature Fusion Mechanism, pages 153–160

Building height

• A training-free method for estimating the relative height of buildings, pages 7–12

building structures

• Patch-based Graph Cut Optimization for 3D Line Segment Extraction of Building Structures from Outdoor Point Cloud Data, pages 161–167

C

CAD Models

• A novel CAD-aided coarse-to-fine framework of RGBD-to-point clouds registration, pages 1–6

Catalyst

• Hardware/software integration of a GNSS receiver in RTX with an iMMS slam based system for the insertion of geometric constraints in mixed indoor-outdoor mapping applications, pages 77–84

Cloud Computing

• Implementation of an automated georeferencing workflow for architectural elements in GIS using ML and Cloud Computing, pages 27–33

Coarse-to-fine matching

• A novel CAD-aided coarse-to-fine framework of RGBD-to-point clouds registration, pages 1–6

Crack Detection

• AI-Based 3D Vision System for Inspection and Monitoring, pages 101–108

Cultural Heritage

• Sensor integration for the documentation and planned maintenance of Cultural Heritage, pages 85–92

change detection

• Object localization and change detection in urban environments using dashcam videos, pages 169–176

D

DROID-SLAM

• Deep Learning in Visual Odometry for Autonomous Driving, pages 93–99

Deep Image Matching vineyard

• Improving Image Alignment in vineyard environment with deep learning image matching, pages 61–67

Deep Learning

• Implementation of an automated georeferencing workflow for architectural elements in GIS using ML and Cloud Computing, pages 27–33
• Unleashing the Reasoning Capabilities of Vision Language Models for Effective Image-based Roadside Tree 3D Measurement, pages 69–75

Deep learning

• Deep Learning in Visual Odometry for Autonomous Driving, pages 93–99

Dimension Lifting

• OneStep-GSPE: an Efficient 3D Gaussian Splatting Based Image Pose Estimation, pages 53–60

Divide-and-Conquer

• Surveys on feed-forward 3R methods for high-resolution photogrammetric images via image divide-and-conquer strategy, pages 109–116

Doppler measurements

• Doppler-enhanced FMCW LiDAR odometry based on linear continuous-time representation, pages 147–152

Drones

• Implementation of an automated georeferencing workflow for architectural elements in GIS using ML and Cloud Computing, pages 27–33

Dynamic

• Deep-UAV SLAM: SuperPoint and SuperGlue enhanced SLAM for dynamic outdoor air navigation, pages 177–183

data enhancement

• A novel CAD-aided coarse-to-fine framework of RGBD-to-point clouds registration, pages 1–6

data fusion

• STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry, pages 125–131

E

Electric Power Facilities

• Detection of Hidden Faults in Electric Power Facilities Combining SAM and U-Net, pages 35–43

F

FMCW LiDAR

• Doppler-enhanced FMCW LiDAR odometry based on linear continuous-time representation, pages 147–152

Fast survey

• Fast survey methods and tools for historical city center: a review, pages 45–51

Feature Extraction

• Deep-UAV SLAM: SuperPoint and SuperGlue enhanced SLAM for dynamic outdoor air navigation, pages 177–183

Feature Matching

• OneStep-GSPE: an Efficient 3D Gaussian Splatting Based Image Pose Estimation, pages 53–60
• Deep-UAV SLAM: SuperPoint and SuperGlue enhanced SLAM for dynamic outdoor air navigation, pages 177–183

fine-tuning

• Improving Image Alignment in vineyard environment with deep learning image matching, pages 61–67

G

GNSS

• Hardware/software integration of a GNSS receiver in RTX with an iMMS slam based system for the insertion of geometric constraints in mixed indoor-outdoor mapping applications, pages 77–84

Graph optimization

• A training-free method for estimating the relative height of buildings, pages 7–12

graph matching

• A novel CAD-aided coarse-to-fine framework of RGBD-to-point clouds registration, pages 1–6

graph-cut

• Patch-based Graph Cut Optimization for 3D Line Segment Extraction of Building Structures from Outdoor Point Cloud Data, pages 161–167

H

Heron

• Hardware/software integration of a GNSS receiver in RTX with an iMMS slam based system for the insertion of geometric constraints in mixed indoor-outdoor mapping applications, pages 77–84

Hidden Fault

• Detection of Hidden Faults in Electric Power Facilities Combining SAM and U-Net, pages 35–43

High Resolution Image

• Surveys on feed-forward 3R methods for high-resolution photogrammetric images via image divide-and-conquer strategy, pages 109–116

Historical city center

• Fast survey methods and tools for historical city center: a review, pages 45–51

I

Indoor environments

• A novel CAD-aided coarse-to-fine framework of RGBD-to-point clouds registration, pages 1–6

Infrared Imaging

• Detection of Hidden Faults in Electric Power Facilities Combining SAM and U-Net, pages 35–43

Inspection

• AI-Based 3D Vision System for Inspection and Monitoring, pages 101–108

iMMS

• Hardware/software integration of a GNSS receiver in RTX with an iMMS slam based system for the insertion of geometric constraints in mixed indoor-outdoor mapping applications, pages 77–84

intelligent vehicles

• LRMO: A Lightweight and Redundant Multi-Modal Odometry Framework for Robust Intelligent Vehicle Localization, pages 13–25

L

Land Cover Classification

• MultiTrans-LC: Multimodal Fusion Transformer for Remote Sensing Land Cover Classification, pages 133–138

LiDAR odometry

• Doppler-enhanced FMCW LiDAR odometry based on linear continuous-time representation, pages 147–152

LiDAR sensors

• Sensor integration for the documentation and planned maintenance of Cultural Heritage, pages 85–92

LiDAR-Camera Fusion

• BEV Space LiDAR-Camera Fusion Methods Based on Attention Driven Feature Fusion Mechanism, pages 153–160

Linear continuous-time

• Doppler-enhanced FMCW LiDAR odometry based on linear continuous-time representation, pages 147–152

Local features

• Deep Learning in Visual Odometry for Autonomous Driving, pages 93–99

line extraction

• Patch-based Graph Cut Optimization for 3D Line Segment Extraction of Building Structures from Outdoor Point Cloud Data, pages 161–167

localization

• LRMO: A Lightweight and Redundant Multi-Modal Odometry Framework for Robust Intelligent Vehicle Localization, pages 13–25

M

MMT

• Object localization and change detection in urban environments using dashcam videos, pages 169–176

Mobile Laser Scanner

• Fast survey methods and tools for historical city center: a review, pages 45–51

Mobile Mapping System

• Sensor integration for the documentation and planned maintenance of Cultural Heritage, pages 85–92

Mobile mapping technology

• Research on 3D Virtual Scene Reconstruction and Application Based on Multi-source Data Fusion, pages 117–123

Monitoring

• AI-Based 3D Vision System for Inspection and Monitoring, pages 101–108

Monocular Depth Estimation

• AI-Based 3D Vision System for Inspection and Monitoring, pages 101–108

Monocular depth estimation

• A training-free method for estimating the relative height of buildings, pages 7–12

Multi-modal

• A novel CAD-aided coarse-to-fine framework of RGBD-to-point clouds registration, pages 1–6

Multi-scale Attention

• BEV Space LiDAR-Camera Fusion Methods Based on Attention Driven Feature Fusion Mechanism, pages 153–160

Multimodal Fusion

• MultiTrans-LC: Multimodal Fusion Transformer for Remote Sensing Land Cover Classification, pages 133–138

metric accuracy

• Fast survey methods and tools for historical city center: a review, pages 45–51

mobile mapping

• STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry, pages 125–131

monocular

• Object localization and change detection in urban environments using dashcam videos, pages 169–176

multi-sensor systems

• STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry, pages 125–131

multisensory integration

• LRMO: A Lightweight and Redundant Multi-Modal Odometry Framework for Robust Intelligent Vehicle Localization, pages 13–25

N

Navigation

• Deep-UAV SLAM: SuperPoint and SuperGlue enhanced SLAM for dynamic outdoor air navigation, pages 177–183

O

Object Detection

• BEV Space LiDAR-Camera Fusion Methods Based on Attention Driven Feature Fusion Mechanism, pages 153–160

Orthogonal Splatting

• HyGS-TDOM: A Hybrid Gaussian Splatting Famework for generating TDOMs from both dense and sparse views, pages 139–146

object detection

• Object localization and change detection in urban environments using dashcam videos, pages 169–176

odometry

• STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry, pages 125–131

P

PNT

• Deep Learning in Visual Odometry for Autonomous Driving, pages 93–99

Pavia

• Fast survey methods and tools for historical city center: a review, pages 45–51

Photogrammetry

• Sensor integration for the documentation and planned maintenance of Cultural Heritage, pages 85–92

Point Cloud

• Semantic-Consistent 3D Reconstruction via Gaussian Splatting and SAM-Guided Annotation, pages 185–192

Point cloud

• Patch-based Graph Cut Optimization for 3D Line Segment Extraction of Building Structures from Outdoor Point Cloud Data, pages 161–167

Point cloud processing

• Research on 3D Virtual Scene Reconstruction and Application Based on Multi-source Data Fusion, pages 117–123

Pose Estimation

• OneStep-GSPE: an Efficient 3D Gaussian Splatting Based Image Pose Estimation, pages 53–60

plane segmentation

• Patch-based Graph Cut Optimization for 3D Line Segment Extraction of Building Structures from Outdoor Point Cloud Data, pages 161–167

point cloud complementation; multi-scale feature extraction; generative adversarial network; attention mechanisms

• Multi-Scale Point Cloud Completion Networks Incorporating Attention Mechanisms, pages 193–199

R

RGBD-to-point clouds registration

• A novel CAD-aided coarse-to-fine framework of RGBD-to-point clouds registration, pages 1–6

Remote Sensing

• MultiTrans-LC: Multimodal Fusion Transformer for Remote Sensing Land Cover Classification, pages 133–138

Roadside Tree Measurement

• Unleashing the Reasoning Capabilities of Vision Language Models for Effective Image-based Roadside Tree 3D Measurement, pages 69–75

S

SAM

• Detection of Hidden Faults in Electric Power Facilities Combining SAM and U-Net, pages 35–43

SLAM

• Hardware/software integration of a GNSS receiver in RTX with an iMMS slam based system for the insertion of geometric constraints in mixed indoor-outdoor mapping applications, pages 77–84
• Sensor integration for the documentation and planned maintenance of Cultural Heritage, pages 85–92
• STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry, pages 125–131
• Deep-UAV SLAM: SuperPoint and SuperGlue enhanced SLAM for dynamic outdoor air navigation, pages 177–183

Segment Anything Model

• Semantic-Consistent 3D Reconstruction via Gaussian Splatting and SAM-Guided Annotation, pages 185–192

Semantic Segmentation

• Semantic-Consistent 3D Reconstruction via Gaussian Splatting and SAM-Guided Annotation, pages 185–192

Simulation

• Deep Learning in Visual Odometry for Autonomous Driving, pages 93–99

Sparse View

• HyGS-TDOM: A Hybrid Gaussian Splatting Famework for generating TDOMs from both dense and sparse views, pages 139–146

Stereo Matching

• AI-Based 3D Vision System for Inspection and Monitoring, pages 101–108

Street View Images

• Unleashing the Reasoning Capabilities of Vision Language Models for Effective Image-based Roadside Tree 3D Measurement, pages 69–75

semantic segmentation

• Object localization and change detection in urban environments using dashcam videos, pages 169–176

T

Transformer

• MultiTrans-LC: Multimodal Fusion Transformer for Remote Sensing Land Cover Classification, pages 133–138

True Digital Orthophoto Maps (TDOM)

• HyGS-TDOM: A Hybrid Gaussian Splatting Famework for generating TDOMs from both dense and sparse views, pages 139–146

U

U-Net

• Detection of Hidden Faults in Electric Power Facilities Combining SAM and U-Net, pages 35–43

UAV

• Improving Image Alignment in vineyard environment with deep learning image matching, pages 61–67

UAV data processing

• Research on 3D Virtual Scene Reconstruction and Application Based on Multi-source Data Fusion, pages 117–123

Unmanned systems

• Doppler-enhanced FMCW LiDAR odometry based on linear continuous-time representation, pages 147–152

Urban maintenance

• Implementation of an automated georeferencing workflow for architectural elements in GIS using ML and Cloud Computing, pages 27–33

V

Vision Language Model

• Unleashing the Reasoning Capabilities of Vision Language Models for Effective Image-based Roadside Tree 3D Measurement, pages 69–75

Visual-SLAM

• Deep Learning in Visual Odometry for Autonomous Driving, pages 93–99
• AI-Based 3D Vision System for Inspection and Monitoring, pages 101–108

vSLAM

• Improving Image Alignment in vineyard environment with deep learning image matching, pages 61–67

Y

YOLO

• AI-Based 3D Vision System for Inspection and Monitoring, pages 101–108