Open research questions in 3D Surveying and Cultural Heritage
75 unresolved questions extracted from the limitations and future-work sections of 539 3D Surveying and Cultural Heritage papers in our library. Each links back to the study that raised it.
What the literature leaves open
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 · DOITo develop more accurate and efficient methods for disaster response and recovery. To improve the robustness of 3D vision systems in real-world applications.
Existing 3D benchmarks focus mainly on urban or indoor scenes. There is a lack of 3D benchmark datasets specifically designed for post-disaster assessment.
The complexity and cost of traditional methods of preservation and documentation. The lack of affordable and efficient workflows for 3D digital documentation. The need for high-end technical skills, manpower, and extensive on-site presence.
DEVELOPING AFFORDABLE WORKFLOW FOR DIGITAL PRESERVATION OF ISLAMIC ARCHITECTURAL HERITAGE THROUGH PHOTOGRAMMETRY AND 3D GAUSSIAN SPLATTING · 2026 · DOIThe field faces challenges associated with climate change, armed conflict, environmental degradation, and urban transformation. 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 · DOIDelivering complex cadastral data over limited web infrastructure. Translating legal boundaries into web-based visualisations. Bridging the gap between statutory cadastral requirements and practical technical implementation.
Voxel Based Web Visualisation for 3D Cadastre in Resource Constrained Urban Environments · 2026 · DOIInaccuracy of traditional methods. Time-consuming data collection using traditional methods. The need for a more efficient and accurate method.
Analisis Perbandingan Volume Stockpile Batubara Menggunakan Data Foto Udara Unmanned Aerial Vehicle (UAV) Mavic 3 Pro dengan Hasil Truck Count di PT. Mitra Barito · 2026 · DOIAlthough the proposed PIC and PIC++ demon- strate strong generalization and versatility, certain limitations remain. First, our experiments are con- ducted solely on object-level point clouds, leaving 24 scene-level point cloud applications unexplored. Second, our framework is designed to process only 3D point clouds with XYZ coordinates, overlook- ing other modalities such as color and normal vectors, which restricts its applicability in multi- modal scenarios. Finally, while contextual labels significantly enhance the model’s generalization ability, they introduce randomness (random labels) during training, potentially leading to instability.
Future Work: First, we plan to extend our PIC framework to large-scale scene-level point clouds, aiming to develop a more comprehensive context learning framework for 3D point clouds. 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.
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 · DOIFurther research is needed to improve the detection capabilities of TLS and MLS. The study suggests that other factors, such as surface morphology, should be considered in future research.
Rockfall monitoring with three terrestrial and two mobile laser scanners: a comparison of detection levels · 2026 · DOIA major concern associated with generative AI is the risk of producing plausible yet historically inaccurate outputs, often referred to as 'hallucinations'. The study relies on existing physical data and manual archival interpretation, lacking the automated predictive capabilities needed when significant portions of a structure are entirely missing.
Artificial Intelligence–Assisted Digital Reconstruction for Heritage Conservation: A Study of Monument Restoration · 2026 · DOIFurther research is needed to explore the application of Artificial Intelligence in the restoration of monuments and artifacts. The development of more advanced generative AI models and techniques is necessary to improve the accuracy and efficiency of the digital reconstruction process.
Artificial Intelligence–Assisted Digital Reconstruction for Heritage Conservation: A Study of Monument Restoration · 2026 · DOIThe 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 · DOIFuture 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 · DOIThe need for optimal flight planning and control point design in photogrammetric surveys. The impact of various flight design scenarios and field data configurations on photogrammetric products' accuracy.
Evaluation of the Impact of Different Flight Planning Scenarios and Field Data on the Accuracy of Photogrammetric Products · 2026 · DOIThe development of sensor technology, autonomous systems, and predictive modeling - The integration of various data sources to create detailed 3D models of geological features - The application of 3D mapping technologies in other fields such as environmental monitoring and urban planning
The need for advanced monitoring techniques for geological hazards - The limitations of traditional methods such as photogrammetry and TLS
Integration of CUDA processing for accuracy. Development of an interactive 3DGS web database for Malaysia's Islamic architectural heritage.
DEVELOPING AFFORDABLE WORKFLOW FOR DIGITAL PRESERVATION OF ISLAMIC ARCHITECTURAL HERITAGE THROUGH PHOTOGRAMMETRY AND 3D GAUSSIAN SPLATTING · 2026 · DOIThe need for a more accurate and efficient method for coal stockpile volume monitoring. The limitations of traditional methods, such as the truck count method.
Analisis Perbandingan Volume Stockpile Batubara Menggunakan Data Foto Udara Unmanned Aerial Vehicle (UAV) Mavic 3 Pro dengan Hasil Truck Count di PT. Mitra Barito · 2026 · DOITraditional 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 · DOIFuture 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.
Existing single-building reconstruction methods for LOD2 models are unsatisfactory in preserving roof details. Large-scale 3D building reconstruction still requires extensive manual editing.
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 · DOIThe study suggests including development analysis in future research. Regular updates of LIDAR data within the National Spatial Information System in Poland will enable the continuation of this type of analysis in the future.
The use of LIDAR point clouds for spatial analysis of changes in building development in large housing estates. An example of the Widzew Wschód and Radogoszcz Wschód estates in Łódź · 2026 · DOI
Most-cited papers in 3D Surveying and Cultural Heritage
- DUSt3R: Geometric 3D Vision Made Easy · 2024 · 510 citations
- Digitalizing cultural heritage through metaverse applications: challenges, opportunities, and strategies · Heritage Science · 2024 · 119 citations
- Increasing the impact of vertebrate scientific collections through 3D imaging: The openVertebrate (oVert) Thematic Collections Network · BioScience · 2024 · 91 citations
- Advancements in point cloud data augmentation for deep learning: A survey · Pattern Recognition · 2024 · 88 citations
- A BIM-enabled digital twin framework for real-time indoor environment monitoring and visualization by integrating autonomous robotics, LiDAR-based 3D mobile mapping, IoT sensing, and indoor positioning technologies · Journal of Building Engineering · 2024 · 86 citations
- Scan2BIM-NET: Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM · Journal of Construction Engineering and Management · 2021 · 83 citations
- Ethics of Artificial Intelligence for Cultural Heritage: Opportunities and Challenges · IEEE Transactions on Technology and Society · 2024 · 64 citations
- How 3D Printing Technology Makes Cities Smarter: A Review, Thematic Analysis, and Perspectives · Smart Cities · 2024 · 64 citations
- Integrating Emerging Technologies with Digital Twins for Heritage Building Conservation: An Interdisciplinary Approach with Expert Insights and Bibliometric Analysis · Heritage · 2024 · 64 citations
- A novel method for landslide deformation monitoring by fusing UAV photogrammetry and LiDAR data based on each sensor's mapping advantage in regards to terrain feature · Engineering Geology · 2024 · 54 citations
Most recent work
- Fusing multi-source data and point clouds to reconstruct ancient architecture · Proceedings of the Institution of Civil Engineers - Engineering History and Heritage · 2026
- Photogrammetric material mapping of heritage facades under constrained survey conditions · npj Heritage Science · 2026
- Adaptability of UAVs to improve the accuracy and efficiency of cost management practices in road construction projects in Sri Lanka · Engineering, Construction and Architectural Management · 2026
- CADRNet: geometric figure recognition in architectural drawings via dynamic feature pyramid and cross-architecture adapter · Connection Science · 2026
- Enhanced Structure-from-Motion 3D Reconstruction through Deep Learning Feature Fusion and Optimization · Tehnicki vjesnik - Technical Gazette · 2026
- Point-In-Context: Understanding Point Cloud via In-Context Learning · International Journal of Computer Vision · 2026
- Rockfall monitoring with three terrestrial and two mobile laser scanners: a comparison of detection levels · Bulletin of Engineering Geology and the Environment · 2026
- Innovative applications of photogrammetry in assessing structure-seabed interactions using ROV video footage · Australian Energy Producers journal. · 2026
- Uncertainty quantification framework for aerial and UAV photogrammetry through error propagation · ISPRS Journal of Photogrammetry and Remote Sensing · 2026
- Semantic and Geometric Datasets Creation for Monument Analysis: A Framework for Expert-Guided Annotation and AI Models · Journal on Computing and Cultural Heritage · 2026
Find a gap in your own 3D Surveying and Cultural Heritage sub-topic
This page shows what the 3D Surveying and Cultural Heritage literature already flags as unresolved. To narrow it to your specific question, run the guided finder — it searches the gap library on demand and checks candidates against 250M+ OpenAlex works.
Open the Research Gap Finder →