Survey Solutions for 3D Acquisition and Representation of Artificial and Natural Caves

A three-dimensional survey of natural caves is often a difficult task due to the roughness of the investigated area and the problems of accessibility. Traditional adopted techniques allow a simplified acquisition of the topography of caves characterized by an oversimplification of the geometry. Nowadays, the advent of LiDAR and Structure from Motion applications eased three-dimensional surveys in different environments. In this paper, we present a comparison between other three-dimensional survey systems, namely a Terrestrial Laser Scanner, a SLAM-based portable instrument, and a commercial photo camera, to test their possible deployment in natural caves survey. We presented a comparative test carried out in a tunnel stretch to calibrate the instrumentation on a benchmark site. The choice of the site is motivated by its regular geometry and easy accessibility. According to the result obtained in the calibration site, we presented a methodology, based on the Structure from Motion approach that resulted in the best compromise among accuracy, feasibility, and cost-effectiveness, that could be adopted for the three-dimensional survey of complex natural caves using a sequence of images and the structure from motion algorithm. The methods consider two different approaches to obtain a low resolution complete three-dimensional model of the cave and ultra-detailed models of most peculiar cave morphological elements. The proposed system was tested in the Gazzano Cave (Piemonte region, Northwestern Italy). The obtained result is a three-dimensional model of the cave at low resolution due to the site’s extension and the remarkable amount of data. Additionally, a peculiar speleothem, i.e., a stalagmite, in the cave was surveyed at high resolution to test the proposed high-resolution approach on a single object. The benchmark and the cave trials allowed a better definition of the instrumentation choice for underground surveys regarding accuracy and feasibility.

[1]  Fabio Remondino,et al.  UAV PHOTOGRAMMETRY FOR MAPPING AND 3D MODELING - CURRENT STATUS AND FUTURE PERSPECTIVES - , 2012 .

[2]  Paolo Allasia,et al.  Investigating the Susceptibility to Failure of a Rock Cliff by Integrating Structure-from-Motion Analysis and 3D Geomechanical Modelling , 2020, Remote. Sens..

[3]  T. Camelbeeck,et al.  Characterizing Stalagmites’ Eigenfrequencies by Combining In Situ Vibration Measurements and Finite Element Modeling Based on 3D Scans , 2020 .

[4]  Stefan Lindgren,et al.  Re-enacting the sequence: combined digital methods to study a prehistoric cave , 2018, Archaeological and Anthropological Sciences.

[5]  Erminio Paolo Canavese,et al.  Laser scanning technology for the hypogean survey: the case of Santa Barbara karst system (Sardinia, Italy) , 2011 .

[6]  P. Blišťan,et al.  Surveying and High-Resolution Topography of the Ochtiná Aragonite Cave Based on TLS and Digital Photogrammetry , 2020, Applied Sciences.

[7]  K. McCaffrey,et al.  A comparison of terrestrial laser scanning and structure-from-motion photogrammetry as methods for digital outcrop acquisition , 2016 .

[8]  P. Dabove,et al.  CHARACTERIZATION OF A MOBILE MAPPING SYSTEM FOR SEAMLESS NAVIGATION , 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[9]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[10]  Giordano Teza,et al.  Morphological Analysis for Architectural Applications: Comparison between Laser Scanning and Structure-from-Motion Photogrammetry , 2016 .

[11]  Anna Osello,et al.  LASER-VISUAL-INERTIAL ODOMETRY BASED SOLUTION FOR 3D HERITAGE MODELING: THE SANCTUARY OF THE BLESSED VIRGIN OF TROMPONE , 2019, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[12]  Volker Grabe,et al.  Compact , Real-time Localization without Reliance on Infrastructure , 2016 .

[13]  Fabio Menna,et al.  3D VIRTUALIZATION OF AN UNDERGROUND SEMI-SUBMERGED CAVE SYSTEM , 2019 .

[14]  Giorgio Verdiani,et al.  The Ancient Fragment Collection at the Museo Archeologico in Florence, Italy, a Digital Proposal to Allow Its Access , 2012, EuroMed.

[15]  Daniele Giordan,et al.  Reliability and Uncertainties of the Analysis of an Unstable Rock Slope Performed on RPAS Digital Outcrop Models: The Case of the Gallivaggio Landslide (Western Alps, Italy) , 2020, Remote. Sens..

[16]  Valentina Bonora,et al.  Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field , 2018 .

[17]  Fabio Remondino,et al.  Investigation of indoor and outdoor performance of two portable mobile mapping systems , 2017, Optical Metrology.

[18]  Friedrich Keller,et al.  Multi-Sensor Platform for Indoor Mobile Mapping: System Calibration and Using a Total Station for Indoor Applications , 2013, Remote. Sens..

[19]  S. Ullman.  The interpretation of structure from motion , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[20]  Juha Hyyppä,et al.  Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods , 2017, Remote. Sens..

[21]  Filiberto Chiabrando,et al.  An Original Application of Image Recognition Based Location in Complex Indoor Environments , 2017, ISPRS Int. J. Geo Inf..

[22]  S. Viseur,et al.  Speleogenesis, geometry, and topology of caves: A quantitative study of 3D karst conduits , 2017 .

[23]  B. Muralikrishnan.  Performance evaluation of terrestrial laser scanners—a review , 2021, Measurement science & technology.

[24]  Henrique Lorenzo,et al.  Behavior Analysis of Novel Wearable Indoor Mapping System Based on 3D-SLAM , 2018, Sensors.

[25]  M. Mettenleiter,et al.  TERRESTRIAL LASER SCANNING – NEW PERSPECTIVES IN 3D SURVEYING , 2004 .

[26]  A. Montanari,et al.  An Epigravettian hypogeal site in the Grotta del Fiume Cave at Frasassi (northeastern Apennines, Italy): Environmental and geochronologic assessments , 2020 .

[27]  Veronica Chiarini,et al.  Geomorphological and speleogenetical observations using terrestrial laser scanning and 3D photogrammetry in a gypsum cave (Emilia Romagna, N. Italy) , 2018, Geomorphology.

[28]  Klaus J. Neumann.  TRENDS FOR DIGITAL AERIAL MAPPING CAMERAS , 2008 .

[29]  Johannes Mattes,et al.  Underground fieldwork – A cultural and social history of cave cartography and surveying instruments in the 19th and at the beginning of the 20th century , 2015 .

[30]  M. Herold,et al.  Comparing terrestrial laser scanning and unmanned aerial vehicle structure from motion to assess top of canopy structure in tropical forests , 2018, Interface Focus.

[31]  Damien Vivet,et al.  A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping , 2020, Sensors.

[32]  Marco Piras,et al.  The use of unmanned aerial vehicles (UAVs) for engineering geology applications , 2020, Bulletin of Engineering Geology and the Environment.

[33]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[34]  Zhou Yang,et al.  A Review of Techniques for 3D Reconstruction of Indoor Environments , 2020, ISPRS Int. J. Geo Inf..

[35]  Fabio Remondino,et al.  Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management , 2017 .

[36]  E. Vassilakis,et al.  High resolution digital 3D modelling of subsurface morphological structures of Koutouki Cave, Greece , 2020, Acta Carsologica.

[37]  Ian D. Reid,et al.  Article in Press Robotics and Autonomous Systems ( ) – Robotics and Autonomous Systems a Comparison of Loop Closing Techniques in Monocular Slam , 2022 .

[38]  José I. Rodrigues,et al.  High-resolution digital 3D models of Algar do Penico Chamber: limitations, challenges, and potential , 2015 .

[39]  Hugh F. Durrant-Whyte,et al.  A solution to the simultaneous localization and map building (SLAM) problem , 2001, IEEE Trans. Robotics Autom..

[40]  T. Landes,et al.  High resolution 3D recording and modelling of the bronze age cave "les fraux" in perigord (France) , 2010 .

[41]  Photogrammetry , 2020, Forensic Gait Analysis.

[42]  Ji Zhang,et al.  Laser–visual–inertial odometry and mapping with high robustness and low drift , 2018, J. Field Robotics.

[43]  M. Westoby,et al.  ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .

[44]  M. Bosse,et al.  THREE-DIMENSIONAL MOBILE MAPPING OF CAVES , 2014 .

[45]  Alan Chalmers,et al.  An Automated Laser Scan Survey of the Upper Palaeolithic Rock Shelter of Cap Blanc , 2001 .

[46]  Alessandro Rizzi,et al.  Reality-based 3D documentation of natural and cultural heritage sites—techniques, problems, and examples , 2010 .

[47]  Daniele Giordan,et al.  Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy , 2019, Sensors.

[48]  Identifying and mapping potentially adverse discontinuities in underground excavations using thermal and multispectral UAV imagery , 2020 .

[49]  Sisi Zlatanova,et al.  CHALLENGES IN FLYING QUADROTOR UNMANNED AERIAL VEHICLE FOR 3D INDOOR RECONSTRUCTION , 2017 .

[50]  M. Gallay,et al.  Large-scale and high-resolution 3-D cave mapping by terrestrial laser scanning: a case study of the Domica Cave, Slovakia , 2015 .

[51]  David Bienvenido-Huertas,et al.  Suitability Study of Structure-from-Motion for the Digitisation of Architectural (Heritage) Spaces to Apply Divergent Photograph Collection , 2020, Symmetry.

[52]  K. Trimmis.  Paperless mapping and cave archaeology: a review on the application of DistoX survey method in archaeological cave sites , 2018 .

[53]  Flowstone growth in Gournier River (Vercors, France): a diachronic landscape analysis by 3D modelling and photo draping , 2018 .

[54]  Luigi Borrelli,et al.  UAV and Structure from Motion Approach to Monitor the Maierato Landslide Evolution , 2020, Remote. Sens..

[55]  Biswajeet Pradhan,et al.  A decade of modern cave surveying with terrestrial laser scanning: A review of sensors, method and application development , 2016 .

[56]  Dwayne D. Tannant,et al.  Detection and geometric characterization of rock mass discontinuities using a 3D high-resolution digital outcrop model generated from RPAS imagery – Ormea rock slope, Italy , 2019, Engineering Geology.

[57]  Sarah B. McClure,et al.  Increasing contextual information by merging existing archaeological data with state of the art laser scanning in the prehistoric funerary deposit of Pastora Cave, Eastern Spain , 2013 .

[58]  Martin Weinmann,et al.  Reconstruction and Analysis of 3D Scenes , 2016, Springer International Publishing.

[59]  M. Piras,et al.  Smartphone-Based Photogrammetry for the 3D Modeling of a Geomorphological Structure , 2019, Applied Sciences.

[60]  G. Brambilla,et al.  INDOOR PHOTOGRAMMETRY USING UAVS WITH PROTECTIVE STRUCTURES: ISSUES AND PRECISION TESTS , 2018 .

[61]  Daniele Giordan,et al.  LIDAR monitoring of mass wasting processes: The Radicofani landslide, Province of Siena, Central Italy , 2009 .

[62]  Stefano Fabbri,et al.  High-resolution 3-D mapping using terrestrial laser scanning as a tool for geomorphological and speleogenetical studies in caves: An example from the Lessini mountains (North Italy) , 2017 .

[63]  Francesco Fassi,et al.  TESTING DIFFERENT SURVEY TECHNIQUES TO MODEL ARCHITECTONIC NARROW SPACES , 2017 .

[64]  Joachim Hertzberg,et al.  6D SLAM—3D mapping outdoor environments , 2007, J. Field Robotics.