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A Framework Based on Reference Data with Superordinate Accuracy for the Quality Analysis of Terrestrial Laser Scanning-Based Multi-Sensor-Systems.

, , , and . Sensors, 17 (8): 1886 (2017)

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Integrity and Collaboration in Dynamic Sensor Networks., , , , , , , , , and 10 other author(s). Sensors, 18 (7): 2400 (2018)Integrated GNSS Attitude Determination and Positioning for Direct Geo-Referencing., , and . Sensors, 14 (7): 12715-12734 (2014)Geo-Referencing of a Multi-Sensor System Based on Set-Membership Kalman Filter., , , and . FUSION, page 1-5. IEEE, (2018)A Framework Based on Reference Data with Superordinate Accuracy for the Quality Analysis of Terrestrial Laser Scanning-Based Multi-Sensor-Systems., , , and . Sensors, 17 (8): 1886 (2017)Collaborative positioning using landmark maps., , and . CTS@SIGSPATIAL, page 39-42. ACM, (2012)High-Precision 3D Object Capturing with Static and Kinematic Terrestrial Laser Scanning in Industrial Applications - Approaches of Quality Assessment., , , and . Remote Sensing, 12 (2): 290 (2020)How Significant Are Differences Obtained by Neglecting Correlations When Testing for Deformation: A Real Case Study Using Bootstrapping with Terrestrial Laser Scanner Observations Approximated by B-Spline Surfaces., , and . Sensors, 19 (17): 3640 (2019)Erfahrungen aus einem koordinierten Vergleich aktueller Scanner, , , , , , , , , and 7 other author(s). Terrestrisches Laserscanning 2022 (TLS 2022) : Beiträge zum 214. DVW-Seminar am 8. und 9. Dezember 2022 in Fulda, 104, page 23-38. Augsburg, Wißner-Verlag, (2022)