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Comprehensive and Highly Accurate Measurements of Crane Runways, Profiles and Fastenings.

, , , , , and . Sensors, 17 (5): 1118 (2017)

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On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation., , and . Sensors, 18 (9): 2964 (2018)Comprehensive and Highly Accurate Measurements of Crane Runways, Profiles and Fastenings., , , , , and . Sensors, 17 (5): 1118 (2017)Integrity and Collaboration in Dynamic Sensor Networks., , , , , , , , , and 10 other author(s). Sensors, 18 (7): 2400 (2018)Simulating quality assurance and efficiency analysis between construction management and engineering geodesy, , , , , , , , and . Automation in construction, (2017)Geo-Referencing of a Multi-Sensor System Based on Set-Membership Kalman Filter., , , and . FUSION, page 1-5. IEEE, (2018)Simulating quality assurance and efficiency analysis between construction management and engineering geodesy, , , , , , , , and . Automation in Construction, Amsterdam, (2017)TLS-Based Feature Extraction and 3D Modeling for Arch Structures., , , and . J. Sensors, (2017)Normalization-Invariant Fuzzy Logic Operations Explain Empirical Success of Student Distributions in Describing Measurement Uncertainty., , , and . NAFIPS, volume 648 of Advances in Intelligent Systems and Computing, page 300-306. Springer, (2017)Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation., , , , , and . ECONVN, volume 760 of Studies in Computational Intelligence, page 266-275. Springer, (2018)A Kalman filter extension for the analysis of imprecise time series., and . EUSIPCO, page 1176-1180. IEEE, (2007)