Modern mapping and remote sensing integrates themes from navigation, geodesy, photogrammetry, computer vision, machine learning and system control. This field is truly interdisciplinary both in the conception and operation of mobile mapping platforms, as well as in the calibration of their sensors and data processing. We study and develop new concepts of sensor calibration, quality control and data adjustment which are tested on platforms developed especially for this purpose. Together with the platforms we study and develop bespoke 3D reconstruction, digitalisation and analysis algorithms.
Our most resent interests are related to the area of fusion of novel LIDAR (Single-photon avalanche diode – SPAD) and RGB camera sensors for 3D digitalisation and mapping. We study the optimal fusion of classical 3D reconstruction algorithms such as photogrammetry with most resent developments in Machine Learning vision and data processing algorithms.
Particular focus is given to the following areas:
- Calibration and integration of active and passive optical sensors
- Sensor synchronisation and data acquisition
- Development of 3D reconstruction algorithms
- Composition of light-weight mapping systems and platforms (e.g.
Bundle adjustment with raw inertial observationsISPRS Journal of Photogrammetry and Remote Sensing. 2017-05-23. Vol. 130, p. 1-12. DOI : 10.1016/j.isprsjprs.2017.05.008.
Time synchronization of consumer cameras on Micro Aerial VehiclesIsprs Journal of Photogrammetry and Remote Sensing. 2017. Vol. 123, num. 1, p. 114-123. DOI : 10.1016/j.isprsjprs.2016.11.009.
UAV Sensor Orientation with Pre-calibrated Redundant IMU/GNSS Observations: Preliminary Results36te Dreiländertagung Photogrammetrie and Fernerkundung der SGPF, DGPF und OVG, Bern, June 7-9, 2016.
UAV Sensor Orientation with Pre-calibrated Redundant IMU/GNSS Observations: Preliminary Results2016. 36te Dreiländertagung Photogrammetrie and Fernerkundung der SGPF, DGPF und OVG, Bern, Switzerland, June 7-9, 2016. p. 26-33.
Detection of crop properties by means of hyperspectral remote sensing from a micro UAV2015. 20. und 21. Workshop Computer-Bildanalyse in der Landwirtschaft – 3. Workshop Unbemannte autonom fliegende Systeme (UAS) in der Landwirtschaft, Braunschweig, Germany, May 7, 2015. p. 129-137.
Drohne für ein hoch genaues Korridor-MappingAHORN 2015 – der Alpenraum und seine Herausforderungen im Bereich Orientierung, Navigation und Informationsaustausch, Wildhaus, November 26-27,2015.
Photogrammetric Mission Planner for RPAS2015. UAV-g, Toronto, Canada, August 30-September 2, 2015. p. 61-65. DOI : 10.5194/isprsarchives-XL-1-W4-61-2015.
Fixed-wing Micro Aerial Vehicle for Accurate Corridor Mapping2015. UAV-g, Toronto, Canada, August 30-September 2, 2015. p. 23-31. DOI : 10.5194/isprsannals-II-1-W1-23-2015.
A Micro Aerial Vehicle with Precise Position and Attitude SensorsPhotogrammetrie, Fernerkundung, Geoinformation (PFG). 2014. Vol. 4, p. 0239-0251. DOI : 10.1127/1432-8364/2014/0220.
Sensor Orientation on Micro Aerial VehiclesSwiss GEOSummit meeting, Workshop “Facts & Trends: Nutzung von Drohnen in der Schweiz, Bern, Switzerland, June 6, 2014.
Mapping with MAV: Experimental Study on the Contribution of Absolute and Relative Aerial Position Control2014. European Calibration and Orientation Workshop, Castelldefels, Spain, February 12-14, 2014. p. 123-129.
A micro-UAV with the capability of direct georeferencingFall Meeting of The Swiss Society of Photogrammetry and Remote Sensing (SSPT), EPFL, Lausanne, Switzerland, November 28, 2013.
Challenges & solutions in sensor orientationFall Meeting of The Swiss Society of Photogrammetry and Remote Sensing (SSPT), EPFL, Lausanne, Switzerland, November 28, 2013.
SamBada in Uganda: landscape genomics study of traditional cattle breeds with a large SNP dataset2013. The IALE 2013 European Congress, Manchester, UK, September 9-12, 2013.
Morphology of pillow-hollow and quilted-cover bedforms in Lake Geneva, Switzerland2013. Marine and River Dune Dynamics – MARID IV, Bruges, Belgium, 15 – 16 April 2013. p. 159-166.
Automated approach for rigorous light detection and ranging system calibration without preprocessing and strict terrain coverage requirementsOptical Engineering. 2012. Vol. 51, num. 7, p. 076201-1-19. DOI : 10.1117/1.Oe.51.7.076201.
SEARCHING LOST PEOPLE WITH UAVS: THE SYSTEM AND RESULTS OF THE CLOSE-SEARCH PROJECT2012. XXII Congress of the International Society for Photogrammetry and Remote Sensing, , Melbourne, Australia, August 25 – September 1, 2012. p. 441-446.
Drones to the Rescue!Inside GNSS. 2012. Vol. July/August.
Collaborative Web-GIS platform for systematic exploration of Lake Geneva2012. XXII Congress of the International Society for Photogrammetry and Remote Sensing, Melbourne, Australia, August 25 – September 1, 2012. p. 1-6.
Cell-based Automatic Deformation Computation by Analyzing Terrestrial LIDAR Point CloudsPhotogrammetric Engineering and Remote Sensing. 2012. Vol. 78, num. 4, p. 317-329. DOI : 10.14358/PERS.78.4.317.
Data Capture and Geosensor NetworksSpringer Handbook of Geographic Information; Springer, 2012. p. 8.1-8.88.
MAV-based real-time localisation of terrestrial targets with cm-level accuracy: Feasibility study2011. UAV-g 2011 – Unmanned Aerial Vehicle in Geomatics, Zurich, Switzerland, September 14-16, 2011.
An Integrated Methodology for Change Detection via Terrestrial Laserscanning: Case Study of the Landslide in Flamatt2010. 8th Swiss Geoscience Meeting, Fribourg, Switzerland, November 19-20, 2010.
A Split/Merge Approach for Change Detection via Terrestrial LIDAR2010. Workshop on Remote Sensing Methods for Change Detection and Process Modeling, Cologne, Cologne, Germany, November 18-19, 2010.
Optimizing Computational Performance for Real-Time Mapping with Airborne Laser Scanning2010.
Registration and CalibrationAirborne and Terrestrial Laser Scanning; Whittles Publishing, 2010. p. 83-133.
In-flight Accuracy Estimation for Airborne Lidar Data2009. ION GNSS 2009, Savannah, GA, USA, September 22 – 25, 2009. p. 434-441.
Image-based indoor tracking device for detection and mitigation of NLOS effectsNavigation. 2009. Vol. Submitted.
Airborne LiDAR In-flight Accuracy EstimationGPS World. 2009. Vol. 20, num. 8, p. 37-41.
Towards in-flight quality assessment of airborne laser scanning2008. XXI ISPRS Congress, Beijing (China), July 3-11, 2008.
On the calibration strategy of medium format cameras for direct georeferencingInternational Calibration and Orientation Workshop EuroCOW, Castelldefels, Spain, 30.1.-1.2. 2008.
Vers une analyse de qualité des données de laser aéroporté en temps réelGeomatik Schweiz. 2008. Vol. 9, p. 460-464. DOI : 10.5169/seals-236536.
Vision-aided inertial navigation system for robotic mobile mappingJournal of Applied Geodesy. 2008. Vol. 2, p. 39-52. DOI : 10.1515/JAG.2008.005.
Theory and Reality of Direct Georeferencing in National CoordinatesISPRS Journal of Photogrammetry and Remote Sensing. 2008. Vol. 63, p. 272-282. DOI : 10.1016/j.isprsjprs.2007.09.002.
Accuracy Estimation for Laser Point Cloud Including Scanning Geometry2007. 5th International Symposium on Mobile Mapping Technology, Padova (Italy), May 29-31, 2007.
Towards Automated LiDAR Boresight Self-calibration2007. 5th International Symposium on Mobile Mapping Technology, Padova (Italy), May 29-31, 2007.
An eye for landscape – rapid aerial mapping with handheld sensorsGPS World. 2006. Vol. 5, num. May, p. 27-33.
Reliability of Direct Georeferencing Phase 2: A Case Study on Practical Problems and Solutions., Checking and Improving of Digital Terrain Models / Reliability of Direct Georeferencing.
Reliability of Direct Georeferencing Phase 1: An Overview of the Current Approaches and Possibilities., Checking and Improving of Digital Terrain Models / Reliability of Direct Georeferencing.