# Roberto Pierdicca

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/roberto-pierdicca/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,752 |
| Field | 3D Surveying and Cultural Heritage |
| h-index | 31 |
| i10-index | 81 |
| Last Known Institution | Marche Polytechnic University |
| OpenAlex ID | https://openalex.org/A5058352961 |
| ORCID iD | 0000-0002-9160-834X |
| Works | 239 |

## Researcher papers

- [A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage](https://scholariq.org/papers/a-survey-of-augmented-virtual-and-mixed-reality-for-cultural-heritage/)
- [Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage](https://scholariq.org/papers/point-cloud-semantic-segmentation-using-a-deep-learning-framework-for-cultural/)
- [DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS](https://scholariq.org/papers/deep-convolutional-neural-network-for-automatic-detection-of-damaged/)
- [Mobile 3D scan LiDAR: a literature review](https://scholariq.org/papers/mobile-3d-scan-lidar-a-literature-review/)
- [Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation](https://scholariq.org/papers/comparing-machine-and-deep-learning-methods-for-large-3d-heritage-semantic/)
- [Knowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web](https://scholariq.org/papers/knowledge-based-data-enrichment-for-hbim-exploring-high-quality-models-using-the/)
- [Automatic Faults Detection of Photovoltaic Farms: solAIr, a Deep Learning-Based System for Thermal Images](https://scholariq.org/papers/automatic-faults-detection-of-photovoltaic-farms-solair-a-deep-learning-based/)
- [A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION](https://scholariq.org/papers/a-benchmark-for-large-scale-heritage-point-cloud-semantic-segmentation/)
- [Human trajectory prediction and generation using LSTM models and GANs](https://scholariq.org/papers/human-trajectory-prediction-and-generation-using-lstm-models-and-gans/)
- [eTourism: ICT and its role for tourism management](https://scholariq.org/papers/etourism-ict-and-its-role-for-tourism-management/)
- [ScoolAR: An Educational Platform to Improve Students’ Learning Through Virtual Reality](https://scholariq.org/papers/scoolar-an-educational-platform-to-improve-students-learning-through-virtual/)

## Researcher topics

- [3D Surveying and Cultural Heritage](https://scholariq.org/topics/3d-surveying-and-cultural-heritage/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-applications/)
- [Virtual Reality Applications and Impacts](https://scholariq.org/topics/virtual-reality-applications-and-impacts/)

## Researcher university

- [Marche Polytechnic University](https://scholariq.org/institutions/marche-polytechnic-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.