Development of “air-ground data fusion” based LiDAR method: towards sustainable preservation and utilization of multiple-scaled historical blocks and buildings
暂无分享,去创建一个
[1] Xiao Zhang,et al. Digital Protection and Utilization of Architectural Heritage Using Knowledge Visualization , 2022, Buildings.
[2] Yifan Jiang,et al. Improvement of Image Stitching Using Binocular Camera Calibration Model , 2022, Electronics.
[3] Jie Wang,et al. Research on the Development and Practice of Digital Technology in Architectural Heritage , 2022, 2022 International Conference on Culture-Oriented Science and Technology (CoST).
[4] M. Guo,et al. 3D Digital protection and representation of burial ruins based on LiDAR and UAV survey , 2022, Measurement and control (London. 1968).
[5] A. Schischmanow,et al. Seamless Navigation, 3D Reconstruction, Thermographic and Semantic Mapping for Building Inspection , 2022, Italian National Conference on Sensors.
[6] Wei Zhou. Research on the Application of UAV Oblique Photography Algorithm in the Protection of Traditional Village Cultural Heritage , 2022, International Conference Computing Methodologies and Communication.
[7] P. Morgado,et al. Life Cycle Thinking and Machine Learning for urban metabolism assessment and prediction , 2022, Sustainable Cities and Society.
[8] Š. Jaud,et al. Digitalization of culturally significant buildings: ensuring high-quality data exchanges in the heritage domain using OpenBIM , 2022, Heritage Science.
[9] Xinxin Wu,et al. Developing a data-fusing method for mapping fine-scale urban three-dimensional building structure , 2022, Sustainable Cities and Society.
[10] Ziyu Jia,et al. Automatic classification of rural building characteristics using deep learning methods on oblique photography , 2021, Building Simulation.
[11] N. Atmaca,et al. The impacts of restoration and reconstruction of a heritage building on life cycle energy consumption and related carbon dioxide emissions , 2021, Energy and Buildings.
[12] J. Fung,et al. Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques , 2021, Sustainable Cities and Society.
[13] J. A. Huesca-Tortosa,et al. Advances in the Restoration of Buildings with LIDAR Technology and 3D Reconstruction: Forged and Vaults of the Refectory of Santo Domingo de Orihuela (16th Century) , 2021, Applied Sciences.
[14] A. Gagnon,et al. Climate change impacts on cultural heritage: A literature review , 2021, WIREs Climate Change.
[15] Z. Shen,et al. A systematic review of a digital twin city: A new pattern of urban governance toward smart cities , 2021 .
[16] Yue Pan,et al. MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square , 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[17] N. Yastikli,et al. Classification of raw LiDAR point cloud using point-based methods with spatial features for 3D building reconstruction , 2021, Arabian Journal of Geosciences.
[18] Guangming Xiong,et al. 3D LiDAR-GPS/IMU Calibration Based on Hand-Eye Calibration Model for Unmanned Vehicle , 2020, 2020 3rd International Conference on Unmanned Systems (ICUS).
[19] Ashutosh Bagchi,et al. Development of an IoT and BIM-based automated alert system for thermal comfort monitoring in buildings , 2020 .
[20] M. Mishra. Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies , 2020, Journal of Cultural Heritage.
[21] K. Chau,et al. Adaptive reuse of heritage architecture and its external effects on sustainable built environment—Hedonic pricing model and case studies in Hong Kong , 2020, Sustainable Development.
[22] Wei Hua,et al. THE GREAT WALL 3D DOCUMENTATION AND APPLICATION BASED ON MULTI-SOURCE DATA FUSION – A CASE STUDY OF NO.15 ENEMY TOWER OF THE NEW GUANGWU GREAT WALL , 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[23] B. Nowogońska. Consequences of Abandoning Renovation: Case Study—Neglected Industrial Heritage Building , 2020, Sustainability.
[24] Yong Liu,et al. Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[25] Wei Wang,et al. LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[26] Jiang Wendong,et al. Research on Multi-source Data Fusion of 3D Scene in Power Grid , 2020, Journal of Physics: Conference Series.
[27] Yiding Yang,et al. VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Z. Gu,et al. Evaluation of air curtain system orientated to local environmental control of archaeological museum: A case study for the stone armor pit of Emperor Qin’s Mausoleum Museum , 2020, Sustainable cities and society.
[29] Shumin Fei,et al. Large-Scale, Real-Time 3D Scene Reconstruction Using Visual and IMU Sensors , 2020, IEEE Sensors Journal.
[30] Lihua Xie,et al. Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[31] Jun Zhang,et al. Dynamic SLAM: The Need For Speed , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[32] Farzad Jalaei,et al. An integrated BIM-LEED application to automate sustainable design assessment framework at the conceptual stage of building projects , 2020 .
[33] Gerhard Schrotter,et al. The Digital Twin of the City of Zurich for Urban Planning , 2020, PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science.
[34] A. Roders,et al. Community participation in cultural heritage management: A systematic literature review comparing Chinese and international practices , 2020, Cities.
[35] Xiaoyan Liu,et al. Research on Building Data Acquisition Methods in Smart City , 2020, 2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS).
[36] Eilidh Stott,et al. Three‐dimensional reconstruction of fluvial surface sedimentology and topography using personal mobile laser scanning , 2019, Earth Surface Processes and Landforms.
[37] Wenxian Yu,et al. TextSLAM: Visual SLAM with Planar Text Features , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[38] Filippo Ubertini,et al. An Innovative Methodology for Online Surrogate-Based Model Updating of Historic Buildings Using Monitoring Data , 2019, International Journal of Architectural Heritage.
[39] I. Vardopoulos. Critical sustainable development factors in the adaptive reuse of urban industrial buildings. A fuzzy DEMATEL approach , 2019, Sustainable Cities and Society.
[40] S. V. Tyurin,et al. PHOTOGRAMMETRIC TECHNOLOGY FOR REMOTE HIGH-PRECISION 3D MONITORING OF CRACKS AND DEFORMATION JOINTS OF BUILDINGS AND CONSTRUCTIONS , 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[41] Jiarong Lin,et al. Loam livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[42] Chiara Bertolin,et al. Mitigating Climate Change in the Cultural Built Heritage Sector , 2019, Climate.
[43] Patrick T.I. Lam,et al. A review and outlook for integrated BIM application in green building assessment , 2019, Sustainable Cities and Society.
[44] Jason Ingham,et al. A performance-based framework to prioritise underutilised historical buildings for adaptive reuse interventions in New Zealand , 2019, Sustainable Cities and Society.
[45] Fabio Stella,et al. A survey on Bayesian network structure learning from data , 2019, Progress in Artificial Intelligence.
[46] Zhou Dongming,et al. Research on the application of ancient architecture based on 3D laser scanning and BIM , 2019 .
[47] A. Ziemeļniece,et al. Obstacles and possible solutions for architectural heritage along the coastline of the Baltic Sea in Latvia , 2019, Professionalism in the Built Heritage Sector.
[48] Agatino Rizzo,et al. Energy-efficiency measures for heritage buildings: A literature review , 2019, Sustainable Cities and Society.
[49] Bruce G. Marcot,et al. Advances in Bayesian network modelling: Integration of modelling technologies , 2019, Environ. Model. Softw..
[50] Margarita Chli,et al. CCM‐SLAM: Robust and efficient centralized collaborative monocular simultaneous localization and mapping for robotic teams , 2018, J. Field Robotics.
[51] S. Bhagat,et al. Damage to Cultural Heritage Structures and Buildings Due to the 2015 Nepal Gorkha Earthquake , 2018 .
[52] C. Bertolin,et al. Sustainable interventions in historic buildings: A developing decision making tool , 2018, Journal of Cultural Heritage.
[53] Brendan Englot,et al. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[54] Qingwu Hu,et al. Surveying and Digital Restoration of Towering Architectural Heritage in Harsh Environments: a Case Study of the Millennium Ancient Watchtower in Tibet , 2018, Sustainability.
[55] Daniel Cremers,et al. Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[56] Li Yong,et al. SLAM Technology and Its Application in Surveying and Mapping , 2018 .
[57] Justo García-Sanz-Calcedo,et al. A quantitative analysis on the feasibility of 4D Planning Graphic Systems versus Conventional Systems in building projects , 2017 .
[58] B. Grayson,et al. Evaluation of Low-Cost Terrestrial Photogrammetry for 3d Reconstruction of Complex Buildings , 2017 .
[59] Shaojie Shen,et al. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator , 2017, IEEE Transactions on Robotics.
[60] Sei Ikeda,et al. Visual SLAM algorithms: a survey from 2010 to 2016 , 2017, IPSJ Transactions on Computer Vision and Applications.
[61] Weimin Li,et al. High-precision method of binocular camera calibration with a distortion model. , 2017, Applied optics.
[62] Massimiliano Masullo,et al. Immersive virtual reality in community planning: Acoustic and visual congruence of simulated vs real world , 2016 .
[63] Yuanrong He,et al. Making series of achievements for building entity measured by terrestrial laser scanning , 2016, 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA).
[64] Charles K. Toth,et al. Remote sensing platforms and sensors: A survey , 2016 .
[65] Michael Bosse,et al. Keyframe-based visual–inertial odometry using nonlinear optimization , 2015, Int. J. Robotics Res..
[66] Klaus Mechelke,et al. 3D MODEL OF AL ZUBARAH FORTRESS IN QATAR - TERRESTRIAL LASER SCANNING VS. DENSE IMAGE MATCHING , 2015 .
[67] Danping Zou,et al. StructSLAM: Visual SLAM With Building Structure Lines , 2015, IEEE Transactions on Vehicular Technology.
[68] Pierre Grussenmeyer,et al. Oblique Aerial Photography Tool for Building Inspection and Damage Assessment , 2014 .
[69] Emmanuel Maravelakis,et al. Combining terrestrial laser scanning and computational fluid dynamics for the study of the urban thermal environment , 2014 .
[70] Ji Zhang,et al. LOAM: Lidar Odometry and Mapping in Real-time , 2014, Robotics: Science and Systems.
[71] Li Yang,et al. Green building in China: Needs great promotion , 2014 .
[72] A. Kleiner,et al. PERFORMANCE EVALUATION OF A LIGHT-WEIGHT MULTI-ECHO LIDAR FOR UNMANNED ROTORCRAFT APPLICATIONS , 2013 .
[73] Olivier Stasse,et al. MonoSLAM: Real-Time Single Camera SLAM , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[74] Kun Sang,et al. Application of UAV-Based Oblique Photography in Architectural Design: The Case of Mengyuan Resort Hotel in Yunnan, China , 2022, Lecture Notes in Civil Engineering.
[75] Diego González-Aguilera,et al. An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca , 2021 .
[76] Yan Wang,et al. Building 3D Realistic Modeling Based on Air-ground Multi-source Data Fusion , 2020 .
[77] A. Troi,et al. What Are the Implications of Climate Change for Retrofitted Historic Buildings? A Literature Review , 2020 .
[78] 王峰 Wang Feng,et al. Application of 3D Reconstruction of Relic Sites Combined with Laser and Vision Point Cloud , 2020 .
[79] Yazid Ninsalam,et al. Towards high resolution and cost-effective terrain mapping for urban hydrodynamic modelling in densely settled river-corridors , 2016 .
[80] 王成,et al. Progress in Building Reconstruction Using Terrestrial Laser Scanning Data , 2014 .