{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T22:09:23Z","timestamp":1788386963656,"version":"build-2803163510"},"reference-count":77,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T00:00:00Z","timestamp":1628467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001141","name":"Australian Coal Industry\u2019s Research Program","doi-asserted-by":"publisher","award":["C27057"],"award-info":[{"award-number":["C27057"]}],"id":[{"id":"10.13039\/501100001141","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Spatially referenced and geometrically accurate laser scans are essential for mapping and monitoring applications in underground mines to ensure safe and smooth operation. However, obtaining an absolute 3D map in an underground mine environment is challenging using laser scanning due to the unavailability of global navigation satellite system (GNSS) signals. Consequently, applications that require georeferenced point cloud or coregistered multitemporal point clouds such as detecting changes, monitoring deformations, tracking mine logistics, measuring roadway convergence rate and evaluating construction performance become challenging. Current mapping practices largely include a manual selection of discernable reference points in laser scans for georeferencing and coregistration which is often time-consuming, arduous and error-prone. Moreover, challenges in obtaining a sensor positioning framework, the presence of structurally symmetric layouts and highly repetitive features (such as roof bolts) makes the multitemporal scans difficult to georeference and coregister. This study aims at overcoming these practical challenges through development of three-dimensional unique identifiers (3DUIDs) and a 3D registration (3DReG) workflow. Field testing of the developed approach in an underground coal mine has been found effective with an accuracy of 1.76 m in georeferencing and 0.16 m in coregistration for a scan length of 850 m. Additionally, automatic extraction of mine roadway profile has been demonstrated using 3DUID which is often a compliant and operational requirement for mitigating roadway related hazards that includes roadway convergence rate, roof\/rock falls, floor heaves and vehicle clearance for collision avoidance. Potential applications of 3DUID include roadway profile extraction, guided automation, sensor calibration, reference targets for a routine survey and deformation monitoring.<\/jats:p>","DOI":"10.3390\/rs13163145","type":"journal-article","created":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T09:03:53Z","timestamp":1628499833000},"page":"3145","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Three-Dimensional Unique-Identifier-Based Automated Georeferencing and Coregistration of Point Clouds in Underground Mines"],"prefix":"10.3390","volume":"13","author":[{"given":"Sarvesh Kumar","family":"Singh","sequence":"first","affiliation":[{"name":"School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW 2052, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5542-3751","authenticated-orcid":false,"given":"Bikram Pratap","family":"Banerjee","sequence":"additional","affiliation":[{"name":"School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW 2052, Australia"},{"name":"Agriculture Victoria, Grains Innovation Park, 110 Natimuk Road, Horsham, VIC 3400, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simit","family":"Raval","sequence":"additional","affiliation":[{"name":"School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW 2052, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.jsm.2015.08.005","article-title":"Possibility of convergence measurement of gates in coal mining using terrestrial 3D laser scanner","volume":"14","author":"Kukutsch","year":"2015","journal-title":"J. Sustain. Min."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"103237","DOI":"10.1016\/j.tust.2019.103237","article-title":"Observe the temporal evolution of deep tunnel\u2019s 3D deformation by 3D laser scanning in the Jinchuan No. 2 Mine","volume":"97","author":"Jiang","year":"2020","journal-title":"Tunn. Undergr. Space Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"11249","DOI":"10.3390\/s120811249","article-title":"Three-dimensional laser scanning for geometry documentation and construction management of highway tunnels during excavation","volume":"12","author":"Gikas","year":"2012","journal-title":"Sensors"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Baiden, G., Bissiri, Y., Luoma, S., and Henrich, G. (2012). Mapping Utility Infrastructure via Underground GPS Positioning with Autonomous Telerobotics. Pipelines 2012, American Society of Civil Engineers.","DOI":"10.1061\/9780784412480.128"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Dang, T., Mascarich, F., Khattak, S., Nguyen, H., Nguyen, H., Hirsh, S., Reinhart, R., Papachristos, C., and Alexis, K. (2020, January 7\u201314). Autonomous Search for Underground Mine Rescue Using Aerial Robots. Proceedings of the 2020 IEEE Aerospace Conference, Big Sky, MT, USA.","DOI":"10.1109\/AERO47225.2020.9172804"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.cageo.2015.06.021","article-title":"Error in target-based georeferencing and registration in terrestrial laser scanning","volume":"83","author":"Fan","year":"2015","journal-title":"Comput. Geosci."},{"key":"ref_7","first-page":"838","article-title":"Identification of Rock Slope Discontinuity Sets from Laser Scanner and Photogrammetric Point Clouds: A Comparative Analysis","volume":"Volume 191","author":"Riquelme","year":"2017","journal-title":"Proceedings of the ISRM European Rock Mechanics Symposium-EUROCK"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.isprsjprs.2007.05.012","article-title":"A method for automated registration of unorganised point clouds","volume":"63","author":"Bae","year":"2008","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.geomorph.2015.05.007","article-title":"Retreat rates, modalities and agents responsible for erosion along the coastal chalk cliffs of Upper Normandy: The contribution of terrestrial laser scanning","volume":"245","author":"Letortu","year":"2015","journal-title":"Geomorphology"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.geomorph.2010.03.016","article-title":"Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring","volume":"119","author":"Calvet","year":"2010","journal-title":"Geomorphology"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1002\/esp.1592","article-title":"Application of a 3D laser scanner in the assessment of erosion and deposition volumes and channel change in a proglacial river","volume":"32","author":"Milan","year":"2007","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1002\/rob.20204","article-title":"Scan registration for autonomous mining vehicles using 3D-NDT","volume":"24","author":"Magnusson","year":"2007","journal-title":"J. Field Robot."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.isprsjprs.2020.03.013","article-title":"Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark","volume":"163","author":"Dong","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_14","unstructured":"Raval, S., Banerjee, B.P., Kumar Singh, S., and Canbulat, I. (August, January 28). A Preliminary Investigation of Mobile Mapping Technology for Underground Mining. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.autcon.2017.06.016","article-title":"Automatic point cloud coarse registration using geometric keypoint descriptors for indoor scenes","volume":"81","author":"Bueno","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_16","unstructured":"Vandapel, N., Huber, D.F., Kapuria, A., and Hebert, M. (May, January 26). Natural terrain classification using 3-D ladar data. Proceedings of the IEEE International Conference on Robotics and Automation, New Orleans, LA, USA."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1080\/2150704X.2020.1809734","article-title":"Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural network","volume":"42","author":"Singh","year":"2021","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Rusu, R.B., Blodow, N., and Beetz, M. (2009, January 12\u201317). Fast Point Feature Histograms (FPFH) for 3D registration. Proceedings of the IEEE International Conference on Robotics and Automation, Kobe, Japan.","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Marton, Z.C., Pangercic, D., Blodow, N., Kleinehellefort, J., and Beetz, M. (2010, January 18\u201322). General 3D Modelling of Novel Objects from a Single View. Proceedings of the 2010 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan.","DOI":"10.1109\/IROS.2010.5650434"},{"key":"ref_20","unstructured":"Zhao, G., Yuan, J., and Dang, K. (2014, January 8). HeIght Gradient Histogram (HIGH) for 3D Scene Labeling. Proceedings of the 2014 2nd International Conference on 3D Vision, Washington, DC, USA."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.autcon.2012.04.011","article-title":"Coregistration of terrestrial lidar points by adaptive scale-invariant feature transformation with constrained geometry","volume":"25","author":"Eo","year":"2012","journal-title":"Autom. Constr."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/MPRV.2014.14","article-title":"RFID in underground-mining service applications","volume":"13","author":"Mishra","year":"2014","journal-title":"IEEE Pervasive Comput."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jnca.2017.12.022","article-title":"Application of wireless sensor network for environmental monitoring in underground coal mines: A systematic review","volume":"106","author":"Muduli","year":"2018","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1002\/rob.21415","article-title":"A landmark-bounded method for large-scale underground mine mapping","volume":"29","author":"Lavigne","year":"2012","journal-title":"J. Field. Robot."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Lavigne, N.J., Marshall, J.A., and Artan, U. (2010, January 2\u20135). Towards Underground Mine Drift Mapping with RFID. Proceedings of the Canadian Conference on Electrical and Computer Engineering, Calgary, Alberta, BC, Canada.","DOI":"10.1109\/CCECE.2010.5575165"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1109\/TIE.2013.2248333","article-title":"Mobile robot localization using the phase of passive UHF RFID signals","volume":"61","author":"Digiampaolo","year":"2014","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/S1665-6423(14)71634-7","article-title":"SLAM-R algorithm of simultaneous localization and mapping using RFID for obstacle location and recognition","volume":"12","author":"Lemus","year":"2014","journal-title":"J. Appl. Res. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Motroni, A., Buffi, A., and Nepa, P. (2021). A survey on Indoor Vehicle Localization through RFID Technology. IEEE Access.","DOI":"10.1109\/ACCESS.2021.3052316"},{"key":"ref_29","unstructured":"Ahmed, S., Gagnon, J.D., Makhdoom, M., Naeem, R., and Wang, J. (, January 11\u201313). New Methods and Equipment for Three-Dimensional Laser Scanning, Mapping and Profiling Underground Mine Cavities. Proceedings of the First International Conference on Underground Mining Technology, Sudbury, ON, Canada."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"5749","DOI":"10.1080\/01431160802108489","article-title":"Terrestrial laser scanner and retro-reflective targets: An experiment for anomalous effects investigation","volume":"29","author":"Pesci","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","first-page":"61","article-title":"Trajectory Adjustment of Mobile Laser Scan Data in Gps Denied Environments","volume":"XL-3\/W4","author":"Schaer","year":"2016","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_32","first-page":"318","article-title":"Accurate Sphere Marker-Based Registration System of 3D Point Cloud Data in Applications of Shipbuilding Blocks","volume":"3","author":"Zhang","year":"2015","journal-title":"J. Ind. Intell. Inf."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"083588","DOI":"10.1117\/1.JRS.8.083588","article-title":"Automatic registration of laser point cloud using precisely located sphere targets","volume":"8","author":"Wang","year":"2014","journal-title":"J. Appl. Remote Sens."},{"key":"ref_34","unstructured":"Shi, G., Tang, J., Guan, Y., and Cheng, X. (2010, January 3\u20135). Target Selection and Development in 3D Laser Scanning Based on Sampling Interval. Proceedings of the 2nd International Conference on Information Science and Engineering, Hangzhou, China."},{"key":"ref_35","unstructured":"Yang, C., Liu, L., Luo, W., Meng, Y., and Su, W. (2010, January 20\u201322). Identification of Barcode Beacon and Its Application in Underground Mining. Proceedings of the ICACTE 2010 3rd International Conference on Advanced Computer Theory and Engineering, Chengdu, China."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Li, Z., and Huang, J. (2018, January 23\u201336). Study on the use of Q-R Codes as Landmarks for Indoor Positioning: Preliminary Results. Proceedings of the 2018 IEEE\/ION Position, Location and Navigation Symposium, PLANS 2018, Monterey, CA, USA.","DOI":"10.1109\/PLANS.2018.8373516"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.4304\/jcp.6.6.1191-1197","article-title":"A robot indoor position and orientation method based on 2D barcode landmark","volume":"6","author":"Lin","year":"2011","journal-title":"J. Comput."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Zhang, H., Zhang, C., Yang, W., and Chen, C.Y. (2015, January 6\u20139). Localization and Navigation Using QR Code for Mobile Robot in Indoor Environment. Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, Zhuhai, China.","DOI":"10.1109\/ROBIO.2015.7419715"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Simela, J.V., Marshall, J.A., and Daneshmend, L.K. (2013, January 11\u201315). Automated Laser Scanner 2D Positioning and Orienting by Method of Triangulateration for Underground Mine Surveying. Proceedings of the ISARC 2013 30th International Symposium on Automation and Robotics in Construction and Mining, Montreal, QB, Canada.","DOI":"10.22260\/ISARC2013\/0078"},{"key":"ref_40","unstructured":"GeoSLAM (2020, August 25). ZEB-REVO User Manual, Available online: http:\/\/download.geoslam.com\/docs\/zeb-revo\/ZEB-REVO User Guide V3.0.0.pdf."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Tan, K., and Cheng, X. (2017). Specular Reflection Effects Elimination in Terrestrial Laser Scanning Intensity Data Using Phong Model. Remote Sens., 9.","DOI":"10.3390\/rs9080853"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/S0924-2716(99)00015-5","article-title":"Airborne laser scanning: Basic relations and formulas","volume":"54","author":"Baltsavias","year":"1999","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.isprsjprs.2011.01.005","article-title":"Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points","volume":"66","author":"Soudarissanane","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Rusu, R.B., and Cousins, S. (2011, January 9\u201313). 3D is here: Point Cloud Library (PCL). Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China.","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"ref_45","unstructured":"Banerjee, B.P., Raval, S., Cullen, P.J., and Kumar Singh, S. (August, January 28). Mapping of Complex Vegetation Communities and Species Using UAV-LIDAR Metrics and High-Resolution Optical Data. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Singh, S.K., Raval, S., and Banerjee, B.P. (2021). Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning. Eng. Geol., 106040.","DOI":"10.1016\/j.enggeo.2021.106040"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.isprsjprs.2017.05.014","article-title":"Automatic co-registration of 3D multi-sensor point clouds","volume":"130","author":"Persad","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1016\/j.compstruc.2004.07.011","article-title":"Moving least squares response surface approximation: Formulation and metal forming applications","volume":"83","author":"Breitkopf","year":"2005","journal-title":"Comput. Struct."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Singh, S.K., Raval, S., and Banerjee, B. (2021). A robust approach to identify roof bolts in 3D point cloud data captured from a mobile laser scanner. Int. J. Min. Sci. Technol.","DOI":"10.1016\/j.ijmst.2021.01.001"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.isprsjprs.2016.01.001","article-title":"Octree-based segmentation for terrestrial LiDAR point cloud data in industrial applications","volume":"113","author":"Su","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Li, L., Yang, F., Zhu, H., Li, D., Li, Y., and Tang, L. (2017). An improved RANSAC for 3D point cloud plane segmentation based on normal distribution transformation cells. Remote Sens., 9.","DOI":"10.3390\/rs9050433"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.isprsjprs.2018.06.018","article-title":"Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor","volume":"144","author":"Dong","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_53","first-page":"49","article-title":"OPTICS: Ordering Points to Identify the Clustering Structure","volume":"28","author":"Ankerst","year":"1999","journal-title":"SIGMOD Rec. (ACM Spec. Interes. Gr. Manag. Data)"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Kalita, H.K., Bhattacharyya, D.K., and Kar, A. (2007, January 18\u201321). A new algorithm for Ordering of Points to Identify Clustering structure based on perimeter of triangle: OPTICS (BOPT). Proceedings of the 15th International Conference on Advanced Computing and Communications, Guwahati, India.","DOI":"10.1109\/ADCOM.2007.111"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s10015-016-0265-x","article-title":"Point cloud matching using singular value decomposition","volume":"21","author":"Oomori","year":"2016","journal-title":"Artif. Life Robot."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1364\/JOSAA.4.000629","article-title":"Closed-form solution of absolute orientation using unit quaternions","volume":"4","author":"Horn","year":"1987","journal-title":"J. Opt. Soc. Am. A"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.ijnaoe.2020.06.006","article-title":"Research of fast point cloud registration method in construction error analysis of hull blocks","volume":"12","author":"Wang","year":"2020","journal-title":"Int. J. Nav. Archit. Ocean. Eng."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Liu, Y., Wang, C., Song, Z., and Wang, M. (2018, January 8\u201314). Efficient global point cloud registration by matching rotation invariant features through translation search. Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany.","DOI":"10.1007\/978-3-030-01258-8_28"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/34.121791","article-title":"A method for registration of 3D shapes","volume":"14","author":"Besl","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_60","first-page":"3333","article-title":"Probabilistic normal distributions transform representation for accurate 3D point cloud registration","volume":"Volume 2017","author":"Hong","year":"2017","journal-title":"Proceedings of the IEEE International Conference on Intelligent Robots and Systems"},{"key":"ref_61","unstructured":"Biber, P. (2003, January 27\u201331). The Normal Distributions Transform: A New Approach to Laser Scan Matching. Proceedings of the IEEE International Conference on Intelligent Robots and Systemsm, Las Vegas, NV, USA."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Magnusson, M., N\u00fcchter, A., L\u00f6rken, C., Lilienthal, A.J., and Hertzberg, J. (2009, January 12). Evaluation of 3D Registration Reliability and Speed-A Comparison of ICP and NDT. Proceedings of the IEEE International Conference on Robotics and Automation, Kobe, Japan.","DOI":"10.1109\/ROBOT.2009.5152538"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1008","DOI":"10.1049\/el.2017.1473","article-title":"Towards multispectral, multi-sensor indoor positioning and target identification","volume":"53","author":"Kaasalainen","year":"2017","journal-title":"Electron. Lett."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Ruotsalainen, L., Kirkko-Jaakkola, M., Rantanen, J., and M\u00e4kel\u00e4, M. (2018). Error modelling for multi-sensor measurements in infrastructure-free indoor navigation. Sensors, 18.","DOI":"10.3390\/s18020590"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.future.2018.05.035","article-title":"Cooperative indoor positioning with factor graph based on FIM for wireless sensor network","volume":"89","author":"Hu","year":"2018","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.autcon.2018.07.003","article-title":"Localisation of a mobile robot for bridge bearing inspection","volume":"94","author":"Peel","year":"2018","journal-title":"Autom. Constr."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.autcon.2015.07.017","article-title":"Automatic reconstruction of road surface features by using terrestrial mobile lidar","volume":"58","author":"Guo","year":"2015","journal-title":"Autom. Constr."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"103568","DOI":"10.1016\/j.autcon.2021.103568","article-title":"Fernanda Leite Automated building change detection with amodal completion of point clouds","volume":"124","author":"Czerniawski","year":"2021","journal-title":"Autom. Constr."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.autcon.2012.03.001","article-title":"Numerical modeling of LiDAR-based geological model for landslide analysis","volume":"24","author":"Hu","year":"2012","journal-title":"Autom. Constr."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.jrmge.2019.07.018","article-title":"An in situ monitoring campaign of a hard rock pillar at great depth within a Canadian mine","volume":"12","author":"Forbes","year":"2020","journal-title":"J. Rock Mech. Geotech. Eng."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.ijrmms.2013.03.007","article-title":"Validation and implementation of a new method for monitoring in situ strain and temperature in rock masses using fiber-optically instrumented rock strain and temperature strips","volume":"61","author":"Gage","year":"2013","journal-title":"Int. J. Rock Mech. Min. Sci."},{"key":"ref_72","first-page":"791","article-title":"In situ monitoring of primary roofbolts at underground coal mines in the USA","volume":"114","author":"Spearing","year":"2014","journal-title":"J. South. African Inst. Min. Metall."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.ijmst.2018.11.021","article-title":"Analysis of gateroad stability at two longwall mines based on field monitoring results and numerical model analysis","volume":"29","author":"Esterhuizen","year":"2019","journal-title":"Int. J. Min. Sci. Technol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1007\/s00603-017-1336-6","article-title":"Investigation of Rock Mass Stability Around the Tunnels in an Underground Mine in USA Using Three-Dimensional Numerical Modeling","volume":"51","author":"Xing","year":"2017","journal-title":"Rock Mech. Rock Eng."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1109\/TRO.2016.2624754","article-title":"Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age","volume":"32","author":"Cadena","year":"2016","journal-title":"IEEE Trans. Robot."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.isprsjprs.2015.10.004","article-title":"Remote sensing platforms and sensors: A survey","volume":"115","author":"Toth","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Bimbraw, K. (2015, January 21\u201323). Autonomous Cars: Past, Present and Future: A Review of the Developments in the Last Century, the Present Scenario and The Expected Future of Autonomous Vehicle Technology. Proceedings of the ICINCO 2015 12th International Conference on Informatics in Control, Automation and Robotics, Colmar, France.","DOI":"10.5220\/0005540501910198"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3145\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:42:48Z","timestamp":1760164968000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3145"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,9]]},"references-count":77,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["rs13163145"],"URL":"https:\/\/doi.org\/10.3390\/rs13163145","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,9]]}}}