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Open research questions in 3D Surveying and Cultural Heritage

115 gap statements mined from 3D Surveying and Cultural Heritage papers in our 4.5M-paper local library, which holds 1,521 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The stability of current deep learning methods is limited by the quality of the training data set. Traditional methods have limitations, such as requiring additional equipment or being affected by detection noise.

    Enhanced Structure-from-Motion 3D Reconstruction through Deep Learning Feature Fusion and Optimization · 2026 · DOI

  • Traditional feature extraction and matching methods have limitations, such as inaccurate positioning and poor repeatability. Deep learning-based techniques have limitations, such as being affected by uncertainty and noise.

    Enhanced Structure-from-Motion 3D Reconstruction through Deep Learning Feature Fusion and Optimization · 2026 · DOI

  • Second, we will incorporate additional modalities to enhance contextual learning and generalization, further exploring the application to broader tasks such as 3D detection and captioning.

    Point-In-Context: Understanding Point Cloud via In-Context Learning · 2026 · DOI

  • The study was conducted on a single rocky embankment in France. The sample size is limited. The study does not account for other factors that may affect rockfall detection.

    Rockfall monitoring with three terrestrial and two mobile laser scanners: a comparison of detection levels · 2026 · DOI

  • There is a need for a methodology that can detect rockfalls and surface deformations accurately. Prior work has limitations in terms of detection capabilities and accuracy.

    Rockfall monitoring with three terrestrial and two mobile laser scanners: a comparison of detection levels · 2026 · DOI

  • To advance the capabilities and safety of AI in heritage conservation, several avenues for future research are identified. Multi-Modal Text-to-3D Generation: Future iterations of the framework should integrate Large Language Models (LLMs) capable of analyzing ancient texts, localized inscriptions, and historical scriptures.

    Artificial Intelligence–Assisted Digital Reconstruction for Heritage Conservation: A Study of Monument Restoration · 2026 · DOI

  • There is a need for cost-effective and flexible solutions for cultural heritage documentation and visualization. There is a lack of region-specific empirical evidence to support the integration of UAV-derived 3D models into GIS-based cultural heritage management and conservation frameworks.

    UAV-Based photogrammetry for cultural heritage mapping and 3D modelling of Kota Lama Duyong, Terengganu · 2026 · DOI

  • Existing 3D benchmarks focus mainly on urban or indoor scenes. There is a lack of 3D benchmark datasets specifically designed for post-disaster assessment.

    3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment · 2026 · DOI

  • The paper does not explicitly state its limitations. However, it mentions the challenges of digital preservation in fragile and at-risk contexts, such as limited governance capacity and constrained equipment and knowledge.

    Digital Heritage Preservation for Fragile and At-Risk Sites: Standards, Ethics, and Access · 2026 · DOI

  • Future research should focus on developing more effective and sustainable digital heritage preservation practices. It should explore the application of new technologies such as artificial intelligence and machine learning in digital preservation. The paper suggests that future research should prioritize international collaboration and knowledge sharing.

    Digital Heritage Preservation for Fragile and At-Risk Sites: Standards, Ethics, and Access · 2026 · DOI

  • Future research will focus on multi-case validation, operator sensitivity analysis, benchmarking at higher levels of detail (LODs) and integration with monitoring systems to support dynamic HBIM and digital twin-oriented workflows.

    A Continuous Scan-to-HBIM Workflow Based on Integrated Multisensor Acquisition and Real-Time Semantic Modelling · 2026 · DOI

  • Traditional inspection methods have limitations, including high cost and safety risks. There is a need for innovative methods that can detect material deterioration effectively and efficiently.

    Digital Examination of Material Deteriorations through Metaverse Technologies: A Case Study with the Mozilla Hubs Platform · 2026 · DOI

  • Future research can focus on improving the method for buildings with relatively simple structures. Future research can explore the application of the method for other types of 3D models.

    Voxel Depth-Constrained LOD2 Modeling for Urban Buildings · 2026 · DOI

  • The lack of a comprehensive approach to mine dump slope management. The need for improved assessment precision and proactive slope management.

    A novel 3D geomorphic change detection framework for large-scale active dump slope using multi-temporal imagery · 2026 · DOI

  • The study identifies a need for evaluating the effectiveness of terrestrial laser scanning and close-range digital photogrammetry for heritage structure documentation and reconstruction.

    Construction of 3D models of the Cracow Fortress Powder Magazine and determination of their accuracy using photogrammetric and terrestrial scanning methods · 2026 · DOI

  • The results of the conducted research have revealed that when observing deformations of quarry walls using the traditional photogrammetric method and standard survey parameters, the accuracy of determining the positions of reference points used to create the initial digital model is insufficient.

    Improving the accuracy of determining quarry wall deformations by optimizing the parameters of terrestrial stereophotogrammetric surveying · 2026 · DOI

  • There are representational asymmetries in digital heritage initiatives. The field needs to address legal, cultural, and ethical responsibilities in relation to community-based and Indigenous heritage.

    Digital Technologies in Cultural Heritage Conservation (1995-2025): A Cross-Database Bibliometric Study · 2026 · DOI

  • Existing Scan-to-BIM approaches can only generate non-editable static mesh models, which are insufficient for renovation simulation and structural performance assessment.

    A Simulation-Driven Digital Twin Framework for Parametric Design of Wing Corner Structures in Traditional Chinese Architecture Using Dynamo · 2026 · DOI

  • The La Silla River remains understudied despite being an essential urban hydrological system. There is a lack of high-resolution geomorphological analysis of urban fluvial terraces. The study addresses the need for effective methods for mapping terraces in restricted urban environments.

    Geomorphometric analysis of urban fluvial terraces using UAV LiDAR: A case study from the La Silla River, Mexico · 2026 · DOI

  • The method presented in this paper requires careful reconstruction of depositional geometries. The accuracy of the DOM is dependent on the quality of the field-based measurements. The study is limited to a specific outcrop, Cerro Cazador, and may not be applicable to other outcrops.

    Integrating field-based and digital datasets to improve geometric accuracy of geologic cross sections constructed from outcrop · 2026 · DOI

  • Traditional field-based techniques have limitations, such as being affected by weather and inaccessible outcrops. Digital Outcrop Models (DOMs) can improve the accuracy of stratigraphic reconstructions, but require calibration with field data. There is a need for a method that can correct stratigraphic interpretations from DOMs for structural overprint and outcrop perspective.

    Integrating field-based and digital datasets to improve geometric accuracy of geologic cross sections constructed from outcrop · 2026 · DOI

  • The fragmentation and limited maintainability of previous EU-funded 3D heritage initiatives. The lack of a comprehensive digital ecosystem for cultural heritage. The need for a sustainable ecosystem of tools for 3D data generation, processing, and dissemination.

    Open Technologies for the 3D Cultural Heritage Digitisation Pipeline · 2026 · DOI

  • The datasets used are limited to seven diverse heritage artifacts. The study does not estimate the scale of the artifacts.

    Evaluating Generative AI for Museum Artifacts Documentation · 2026 · DOI

  • Existing single-building reconstruction methods for LOD2 models are unsatisfactory in preserving roof details. Large-scale 3D building reconstruction still requires extensive manual editing.

    Voxel Depth-Constrained LOD2 Modeling for Urban Buildings · 2026 · DOI

  • To develop more accurate and efficient methods for disaster response and recovery. To improve the robustness of 3D vision systems in real-world applications.

    3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment · 2026 · DOI

Most-cited papers in 3D Surveying and Cultural Heritage

Most recent work

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Open questions raised by papers listed on this page include: (1) There is a need for a methodology that can detect rockfalls and surface deformations accurately (“Rockfall monitoring with three terrestrial and two mobile laser scanners: a…”, 2026); (2) There is a need for cost-effective and flexible solutions for cultural heritage documentation and visualization (“UAV-Based photogrammetry for cultural heritage mapping and 3D modelling of Kota…”, 2026); (3) There is a lack of 3D benchmark datasets specifically designed for post-disaster assessment (“3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment”, 2026); (4) Future research should focus on developing more effective and sustainable digital heritage preservation practices (“Digital Heritage Preservation for Fragile and At-Risk Sites: Standards, Ethics,…”, 2026); (5) Future research will focus on multi-case validation, operator sensitivity analysis, benchmarking at higher levels of detail (LODs) and integration with monitoring systems to support dynamic HBIM and digital twin-oriented workflows (“A Continuous Scan-to-HBIM Workflow Based on Integrated Multisensor Acquisition…”, 2026). 115 gap statements have been mined from 3D Surveying and Cultural Heritage papers in our 4.5M-paper local library, which holds 1,521 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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