THE IPAD PRO BUILT-IN LIDAR SENSOR: 3D RAPID MAPPING TESTS AND QUALITY ASSESSMENT

33 citations as recorded by crossref.

1. Smartphone LiDAR Technologies for Surveying and Reality Modelling in Urban Scenarios: Evaluation Methods, Performance and Challenges D. Costantino et al. https://doi.org/10.3390/asi5040063
2. On the Characterisation of the Time-of-Flight VL53L5CX Sensor by STMicroelectronics for Indoor Robotics Applications G. Caroleo et al. https://doi.org/10.3390/s26051639
3. iPad Pro LiDAR sensörünün profesyonel bir yersel lazer tarayıcı ile karşılaştırmalı performans analizi R. KUÇAK et al. https://doi.org/10.29128/geomatik.1105048
4. Automated Technology for Strawberry Size Measurement and Weight Prediction Using AI H. Jeong et al. https://doi.org/10.1109/ACCESS.2024.3356118
5. Coherent LiDAR With an 8,192-Element Optical Phased Array and Driving Laser C. Poulton et al. https://doi.org/10.1109/JSTQE.2022.3187707
6. Comparison of wood stack volume determination between manual, photo-optical, iPad-LiDAR and handheld-LiDAR based measurement methods T. Purfürst et al. https://doi.org/10.3832/ifor4153-016
7. Calibration of iPad Pro LiDAR Scanning Parameters for the Scanning of Heritage Structures Using Orthogonal Arrays E. Atencio et al. https://doi.org/10.3390/app142411814
8. Rockfall susceptibility analysis of the “San Michele Arcangelo” historic trail (Central Italy) based on virtual outcrops and multiple propagation models L. Guerriero et al. https://doi.org/10.1007/s10064-024-03764-0
9. Determining the usability of the ViDoc device, which integrates with smart phones, in documenting historical structures E. Aksoy https://doi.org/10.1016/j.measurement.2024.116156
10. Voxel-Based Path Planning for Autonomous Vehicles in Parking Lots Z. Lin et al. https://doi.org/10.3390/ijgi14040147
11. A review of smartphone sensing for structural health monitoring X. Zhang et al. https://doi.org/10.1007/s13349-025-01037-2
12. Comparative Analysis of LiDAR and Photogrammetry for 3D Crime Scene Reconstruction F. Sheshtar et al. https://doi.org/10.3390/app15031085
13. Use of Smartphone Lidar Technology for Low-Cost 3D Building Documentation with iPhone 13 Pro: A Comparative Analysis of Mobile Scanning Applications C. Askar & H. Sternberg https://doi.org/10.3390/geomatics3040030
14. An Example of Using Low-Cost LiDAR Technology for 3D Modeling and Assessment of Degradation of Heritage Structures and Buildings P. Kędziorski et al. https://doi.org/10.3390/ma17225445
15. Low-Cost iOS-Based Automated Detection of Under-Construction Interior Drywalls: An Exploratory Study Y. Zhang et al. https://doi.org/10.1061/JCEMD4.COENG-16417
16. Optimal reconstruction of railway bridges using a machine learning framework based on UAV photogrammetry and LiDAR R. Cabral et al. https://doi.org/10.1080/15732479.2025.2531562
17. Apple LiDAR Sensor for 3D Surveying: Tests and Results in the Cultural Heritage Domain L. Teppati Losè et al. https://doi.org/10.3390/rs14174157
18. Exploring the Potential of iPad-LiDAR Technology for Building Renovation Diagnosis: A Case Study P. Mêda et al. https://doi.org/10.3390/buildings13020456
19. Analysis and Precision of Light Detection and Ranging Sensors Integrated in Mobile Phones as a Framework for Registration of Ground Control Points for Unmanned Aerial Vehicles in the Scanning Technique for Building Information Modelling in Archaeological Sites J. Moyano et al. https://doi.org/10.3390/drones7070477
20. Fusion of IPAD Pro LiDAR and SfM-Based Photogrammetry for 3D Documentation of Cultural Heritage A. Ulvi & S. Hamal https://doi.org/10.1007/s40996-025-01936-w
21. A mobile mapping solution for VRU Infrastructure monitoring via low-cost LiDAR-sensors J. Vogt et al. https://doi.org/10.1080/17489725.2023.2238660
22. Tree inventory in urban areas using smartphone A. Lebedev https://doi.org/10.34220/issn.2222-7962/2023.3/5
23. Using the iPhone's LiDAR technology to capture 3D forensic data at crime and crash scenes S. Kottner et al. https://doi.org/10.1016/j.fri.2023.200535
24. Hybrid self-supervised learning-based architecture for construction progress monitoring V. Reja et al. https://doi.org/10.1016/j.autcon.2023.105225
25. Reinforcement Learning Based Tactile Sensing for Active Point Cloud Acquisition, Recognition and Localization K. Riou et al. https://doi.org/10.1109/JSTSP.2024.3431203
26. Integrating lidar technology in artisanal and small-scale mining: A comparative study of iPad Pro LiDAR sensor and traditional surveying methods in Ecuador’s artisanal gold mine C. Ordóñez et al. https://doi.org/10.1515/jogs-2022-0181
27. Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations O. Catharia et al. https://doi.org/10.3390/s23041967
28. 3D Radiometric Thermography Mosaics with Low-Cost Mobile Sensor Stack S. McAvoy et al. https://doi.org/10.3390/rs18091335
29. Use of Camera and AI for Mapping Monitoring for Architecture M. Falcone & G. Dell’Annunziata https://doi.org/10.1007/s00004-023-00733-0
30. Instant Segmentation and Fitting of Excavations in Subsurface Utility Engineering M. Stranner et al. https://doi.org/10.1109/TVCG.2024.3372064
31. Exploring the capabilities of portable device photogrammetry for 3D surface roughness evaluation K. Li et al. https://doi.org/10.1080/17480930.2023.2235845
32. ARKEOLOJİDE AÇMA DOKÜMANTASYONU İÇİN YENİ BİR ÖNERİ: IPAD/IPHONE LİDAR SENSÖRÜ - PRİENE ÖRNEĞİ B. Kuru https://doi.org/10.21550/sosbilder.1584029
33. Indoor mapping accuracy comparison between the apple devices’ LiDAR sensor and terrestrial laser Scanner H. Abdel-Majeed et al. https://doi.org/10.1080/16874048.2024.2408839