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An Intelligent Earthwork Monitoring System Through Semantic Segmentation of Uav-Derived Point Clouds

https://doi.org/10.2139/ssrn.5396058
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inferredcites →https://doi.org/10.1007/978-981-97-1949-5_104openalex-snapshot
Excavation and Progress Monitoring of Foundation Pit Earthwork Based on Oblique Photography
inferredcites →https://doi.org/10.1007/s11263-021-01554-9openalex-snapshot
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds
inferredcites →https://doi.org/10.1007/s12205-022-0407-8openalex-snapshot
Development of Point Cloud Data-Denoising Technology for Earthwork Sites Using Encoder-Decoder Network
inferredcites →https://doi.org/10.1007/s12205-024-1643-xopenalex-snapshot
UAV Imagery-based Automatic Classification of Ground Surface Types for Earthworks
inferredcites →https://doi.org/10.1016/j.aei.2019.02.007openalex-snapshot
Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018
inferredcites →https://doi.org/10.1016/j.aei.2022.101819openalex-snapshot
UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation
inferredcites →https://doi.org/10.1016/j.aei.2023.101875openalex-snapshot
Excavator 3D pose estimation using deep learning and hybrid datasets
inferredcites →https://doi.org/10.1016/j.aei.2025.103384openalex-snapshot
GLoU-MiT: Lightweight Global-Local Mamba-Guided U-mix transformer for UAV-based pavement crack segmentation
inferredcites →https://doi.org/10.1016/j.autcon.2014.01.004openalex-snapshot
Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system
inferredcites →https://doi.org/10.1016/j.autcon.2014.03.003openalex-snapshot
A new approach for automation of location-based earthwork scheduling in road construction projects
inferredcites →https://doi.org/10.1016/j.autcon.2020.103309openalex-snapshot
Top 10 technologies for indoor positioning on construction sites
inferredcites →https://doi.org/10.1016/j.autcon.2020.103430openalex-snapshot
Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites
inferredcites →https://doi.org/10.1016/j.autcon.2021.103584openalex-snapshot
Segmentation of point clouds via joint semantic and geometric features for 3D modeling of the built environment
inferredcites →https://doi.org/10.1016/j.autcon.2021.103760openalex-snapshot
Classification and analysis of deep learning applications in construction: A systematic literature review
inferredcites →https://doi.org/10.1016/j.autcon.2021.104057openalex-snapshot
Semantics-aided 3D change detection on construction sites using UAV-based photogrammetric point clouds
inferredcites →https://doi.org/10.1016/j.autcon.2023.105157openalex-snapshot
Activity-level construction progress monitoring through semantic segmentation of 3D-informed orthographic images
inferredcites →https://doi.org/10.1016/j.cag.2022.07.008openalex-snapshot
Semantic segmentation of 3D car parts using UAV-based images
inferredcites →https://doi.org/10.1016/j.catena.2020.105072openalex-snapshot
Evaluation of DEM interpolation techniques for characterizing terrain roughness
inferredcites →https://doi.org/10.1016/j.displa.2023.102414openalex-snapshot
Point cloud simplification for the boundary preservation based on extracted four features
inferredcites →https://doi.org/10.1038/s41598-023-40038-3openalex-snapshot
Object-level complete coverage path planning for excavators in earthwork construction
inferredcites →https://doi.org/10.1038/s41598-024-66232-5openalex-snapshot
Innovative BIM technology application in the construction management of highway
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0002137openalex-snapshot
Methodology for Voxel-Based Earthwork Modeling
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0002256openalex-snapshot
Fast-PGMED: Fast and Dense Elevation Determination for Earthwork Using Drone and Deep Learning
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000930openalex-snapshot
Determining Ground Elevations Covered by Vegetation on Construction Sites Using Drone-Based Orthoimage and Convolutional Neural Network
inferredcites →https://doi.org/10.1061/(asce)me.1943-5479.0000761openalex-snapshot
UAV Integration in Current Construction Safety Planning and Monitoring Processes: Case Study of a High-Rise Building Construction Project in Chile
inferredcites →https://doi.org/10.1061/(asce)su.1943-5428.0000138openalex-snapshot
Earthwork Volumetrics with an Unmanned Aerial Vehicle and Softcopy Photogrammetry
inferredcites →https://doi.org/10.1061/9780784482438.052openalex-snapshot
Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork
inferredcites →https://doi.org/10.1080/13467581.2020.1869023openalex-snapshot
Method for establishing ground control points to realize UAV-based precision digital maps of earthwork sites
inferredcites →https://doi.org/10.1108/14714170910973538openalex-snapshot
Automated measurement of earthwork volume in construction projects
inferredcites →https://doi.org/10.1108/ecam-01-2024-0020openalex-snapshot
Unmanned ground vehicle (UGV) based automated construction progress measurement of road using LSTM
inferredcites →https://doi.org/10.1108/jedt-07-2023-0325openalex-snapshot
Methodology for retrospectively developing a BIM model from point cloud scans using ongoing building project as case study
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00319openalex-snapshot
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01112openalex-snapshot
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01427openalex-snapshot
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00831openalex-snapshot
Stratified Transformer for 3D Point Cloud Segmentation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01644openalex-snapshot
Fast Point Transformer
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00699openalex-snapshot
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes
inferredcites →https://doi.org/10.1109/iccv.2019.00651openalex-snapshot
KPConv: Flexible and Deformable Convolution for Point Clouds
inferredcites →https://doi.org/10.1109/tcsvt.2023.3247506openalex-snapshot
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/wacv57701.2024.00352openalex-snapshot
PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation
inferredcites →https://doi.org/10.1111/mice.12293openalex-snapshot
Automated Estimation of Reinforced Precast Concrete Rebar Positions Using Colored Laser Scan Data
inferredcites →https://doi.org/10.1111/mice.12420openalex-snapshot
Classical Planning Model-Based Approach to Automating Construction Planning on Earthwork Projects
inferredcites →https://doi.org/10.1155/2020/8839923openalex-snapshot
Application of BIM and 3D Laser Scanning for Quantity Management in Construction Projects
inferredcites →https://doi.org/10.3390/app11083435openalex-snapshot
The Integration of Earthwork Design Review and Planning Using UAV-Based Point Cloud and BIM
inferredcites →https://doi.org/10.3390/app12136293openalex-snapshot
UAV Application for Typhoon Damage Assessment in Construction Sites
inferredcites →https://doi.org/10.3390/app14083160openalex-snapshot
Dynamic Downsampling Algorithm for 3D Point Cloud Map Based on Voxel Filtering
inferredcites →https://doi.org/10.3390/app142210517openalex-snapshot
Earthwork Network Architecture (ENA): Research for Earthwork Quantity Estimation Method Improvement with Large Language Model
inferredcites →https://doi.org/10.3390/buildings14082393openalex-snapshot
Semantic Segmentation of Heavy Construction Equipment Based on Point Cloud Data
inferredcites →https://doi.org/10.3390/buildings8120178openalex-snapshot
Automation of Measuring Actual Productivity of Earthwork in Urban Area, a Case Study from Montreal
inferredcites →https://doi.org/10.3390/drones5040147openalex-snapshot
Large-Scale Earthwork Progress Digitalization Practices Using Series of 3D Models Generated from UAS Images
inferredcites →https://doi.org/10.3390/s21124227openalex-snapshot
Unmanned Aerial Vehicles (UAVs) for Physical Progress Monitoring of Construction
inferredcites →https://doi.org/10.3390/su14159331openalex-snapshot
Field Applicability of Earthwork Volume Calculations Using Unmanned Aerial Vehicle
inferredcites →https://doi.org/10.3390/su16219425openalex-snapshot
Application of Building Information Modelling in Construction and Demolition Waste Management: Systematic Review and Future Trends Supported by a Conceptual Framework
inferredcites →https://doi.org/10.48550/arxiv.1612.00593openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1706.02413openalex-snapshot
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
inferredcites →https://doi.org/10.48550/arxiv.2109.09074openalex-snapshot
Efficient Urban-scale Point Clouds Segmentation with BEV Projection
inferredcites →https://doi.org/10.48550/arxiv.2203.09065openalex-snapshot
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
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