Research
Publications

Publications

Peer-Reviewed Literature

  • Abdelaal M. und Schön S. (2020): Predictive Path Following and Collision Avoidance of Autonomous Connected VehiclesAlgorithms Vol. 13, No. 3, S. 1–13.
    DOI: 10.3390/a13030052
  • Dbouk, H., & Schön, S. (2020): Reliable Bounding Zones and Inconsistency Measures for GPS Positioning using Geometrical ConstraintsActa Cybernetica, 24(3), 573-591
    DOI: 10.14232/actacyb.24.3.2020.16
  • Hake, F., Hermann, F.; Alkhatib, H., Hesse, C., Holste, K., Umlauf, G., Kermarrec, G., Neumann, I. (2020): Damage detection for port infrastructure by means of machine-learning-algorithmsFIG Working Week in Amsterdam, submitted
  • Höllmann, M., Mehltretter, M., Heipke, C. (2020): Geometry-Based Regularisation for Dense Image Matching via Uncertainty-Driven Depth PropagationISPRS Congress 2020, accepted for publication
  • Icking L., Kersten T., Schön S. (2020): Evaluating the Urban Trench Model for Improved GNSS Positioning in Urban AreasProc. PLANS 2020
  • Mehltretter, M. (2020): Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep LearningISPRS Congress 2020, accepted for publication
  • Nguyen, U., Heipke, C. (2020): 3D Pedestrian Tracking Using Local Structure ConstraintsISPRS Journal of Photogrammetry and Remote Sensing (166), 347-358
    DOI: 10.1016/j.isprsjprs.2020.05.002
  • Politz, F., Sester, M., Brenner, C., (2020): Geometry-based Point Cloud Classification using Height DistributionsISPRS Congress 2020, accepted for publication
  • Stenz, U., Hartmann, J., Paffenholz, J.-A., Neumann, I. (2020): High-Precision 3D Object Capturing with Static and Kinematic Terrestrial Laser Scanning in Industrial Applications - Approaches of Quality AssessmentRemote Sensing 12(2), 290
    DOI: 10.3390/rs12020290
  • Voges R., Wagner B., Kreinovich V. (2020): Efficient Algorithms for Synchronizing Localization Sensors Under Interval UncertaintyReliable Computing (Interval Computations), accepted
  • Voges, R. and Wagner, B. (2020): Set-Membership Extrinsic Calibration of a 3D LiDAR and a CameraIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, Oct. 2020, accepted
  • Voges, R., Wagner, B., and Kreinovich, V. (2020): Odometry under Interval Uncertainty: Towards Optimal Algorithms, with Potential Application to Self-Driving Cars and Mobile RobotsReliable Computing (Interval Computations) 2020, accepted.
  • Bureick, J., Vogel, S., Neumann, I., Unger, J. Alkhatib, H. (2019): Georeferencing of an unmanned aerial system by means of an iterated extended Kalman filter using a 3D City ModelJournal of Photogrammetry, Remote Sensing and Geoinformation Science (PFG) Vol. 87, No. 5-6, S. 229–248
    DOI: 10.1007/s41064-019-00084-x
    ISSN: 2512-2819
  • Busch, S. und Brenner, C. (2019): Discrete Reversible Jump Markov Chain Monte Carlo Trajectory Clustering2019 IEEE Intelligent Transportation Systems Conference (ITSC), S. 1475-1481
    DOI: 10.1109/ITSC.2019.8917150
  • Coenen M. und Rottensteiner F. (2019): Probabilistic vehicle reconstruction using a multi-task CNNIEEE International Conference on Computer Vision Workshops (ICCV Workshops), S. 822–831
    DOI: 10.1109/ICCVW.2019.00110
  • Coenen, M., Rottensteiner, F., Heipke, C. (2019): Precise vehicle reconstruction for autonomous driving applicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5, pp. 21-28 More Info
    DOI: 10.5194/isprs-annals-IV-2-W5-21-2019
  • Dbouk H., Schön S. (2019): Reliability and Integrity Measures of GPS Positioning via Geometrical ConstraintsProceedings of the 2019 International Technical Meeting of The Institute of Navigation, Reston, Virginia, January 2019, pp. 730-743
    DOI: 10.33012/2019.16722
  • Garcia Fernandez N., Schön S. (2019): Optimizing Sensor Combinations and Processing Parameters in Dynamic Sensor NetworksProceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), Miami, Florida, September 2019, pp. 2048-2062
    DOI: 10.33012/2019.16885
  • Garcia Fernandez, N., Alkhatib, H. and Schön, S. (2019): Collaborative navigation simulation tool using Kalman filter with implicit constraintsISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 559-566
    DOI: 10.5194/isprs-annals-IV-2-W5-559-2019
  • Kermarrec, G., Neumann, I., Alkhatib, H., Schön, S. (2019): The stochastic model for Global Navigation Satellite Systems and terrestrial laser scanning observations: A proposal to account for correlations in least squares adjustmentJournal of Applied Geodesy, Band 13, Heft 2, S. 93-104
    DOI: 10.1515/jag-2018-0019
  • Mehltretter M. und Heipke C. (2019): CNN-based Cost Volume Analysis as Confidence Measure for Dense MatchingIEEE International Conference on Computer Vision Workshops (ICCV Workshops)
    DOI: 10.1109/ICCVW.2019.00262
  • Nguyen U., Rottensteiner F., Heipke C. (2019): Confidence-aware pedestrian tracking using a stereo cameraISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5, pp. 53-60
    DOI: 10.5194/isprs-annals-IV-2-W5-53-2019
  • Sun L., Alkhatib H., Kargoll B., Kreinovich V. und Neumann I. (2019): Ellipsoidal and Gaussian Kalman Filter Model for Discrete-Time Nonlinear SystemsMathematics Vol. 7, No. 12, S. 1168
    DOI: 10.3390/math7121168
  • Vogel, S.; Alkhatib, H.; Bureick, J.; Moftizadeh, R. und Neumann, I. (2019): Georeferencing of Laser Scanner-Based Kinematic Multi-Sensor Systems in the Context of Iterated Extended Kalman Filters Using Geometrical ConstraintsSensors. Jg. 19, No. 10, 1–22
    DOI: 10.3390/s19102280
  • Behmann N., Mehltretter M., Kleinschmidt S. P., Wagner B., Heipke C. und Blume H. (2018): GPU-enhanced Multimodal Dense MatchingIEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC)
    DOI: 10.1109/ NORCHIP.2018.8573526
  • Blott G., Takami M. und Heipke C. (2018): Semantic Segmentation of Fisheye ImagesComputer Vision – ECCV 2018 Workshops. Hrsg. von L. Leal-Taixé und S. Roth. Cham: Springer International Publishing, S. 181–196
  • Blott, G., Yu, J. und Heipke, C. (2018): View-Aware Person Re-IdentificationPattern Recognition. Hrsg. von T. Brox, A. Bruhn und M. Fritz. Cham: Springer International Publishing, S. 46–59.
  • Coenen M., Rottensteiner F., Heipke C. (2018): Recovering the 3D pose and shape of vehicles from stereo imagesISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. IV-2, S. 73–80
    DOI: 10.5194/isprs-annals-iv-2-73-2018
  • Dbouk H. and Schön S. (2018): Comparison of Different Bounding Methods for Providing GPS Integrity InformationProceedings of IEEE/ION PLANS
    DOI: 10.1109/PLANS.2018.8373401
  • Garcia Fernandéz N. and Schön S. (2018): Evaluating a LKF Simulation Tool for Collaborative Navigation SystemsProceedings of IEEE/ION PLANS
    DOI: 10.1109/plans.2018.8373539
  • Mehltretter M., Kleinschmidt S. P., Wagner B. und Heipke C. (2018): Multimodal Dense Stereo MatchingBronx T., Bruhn A. (Eds.): Pattern recognition – 40th German Conference GCPR Stuttgart, LNCS 11269, Springer, 407-421
    DOI: 10.1007/978-3-030-12939-2_28
  • Peters T. und Brenner C. (2018): Conditional adversarial networks for multimodal photorealistic point cloud renderingProceedings of the Spatial Big Data and Machine Learning in GIScience, Workshop at GIScience, S. 48–53
  • Schön S., Brenner C., Alkhatib H., Coenen M., Dbouk H., Garcia Fernandez N., Fischer C., Heipke C., Lohmann K., Neumann I., Nguyen U., Paffenholz J.-A., Peters T., Rottensteiner F., Schachtschneider J., Sester M., Sun L., Vogel S., Voges R., Wagner B. (2018): Integrity and Collaboration in Dynamic Sensor NetworksSensors 2018
    DOI: 10.3390/s18072400
  • Sun L., Alkhatib H., Paffenholz J.-A., Neumann I. (2018): Geo-Referencing of a Multi-Sensor System Based on Set-Membership Kalman Filter2018 21st International Conference on Information Fusion (FUSION)
    DOI: 10.23919/ICIF.2018.8455763
  • Vogel S., Alkhatib H., Neumann I. (2018): Iterated Extended Kalman Filter with Implicit Measurement Equation and Nonlinear Constraints for Information-Based Georeferencing21st International Conference on Information Fusion (FUSION)
    DOI: 10.23919/icif.2018.8455258
  • Voges R., Wagner B. (2018): Timestamp Offset Calibration for an IMU- Camera System Under Interval UncertaintyIEEE International Conference on Intelligent Robots and Systems (IROS), October 1-5, Madrid, Spain
    DOI: 10.1109/IROS.2018.8594237
  • Voges R., Wieghardt C.S., Wagner B. (2018): Finding Timestamp Offsets for a Multi-Sensor System Using Sensor ObservationsPhotogrammetric Engineering & Remote Sensing
    DOI: 10.14358/pers.84.6.357
  • Dennig, D., Bureick, J., Link, J., Diener, D., Hesse, C. und Neumann, I. (2017): Comprehensive and Highly Accurate Measurements of Crane Runways, Profiles and FasteningsSensors Vol. 17, No. 5
    DOI: 10.3390/s17051118
  • Garcia Fernandéz N. and Schön S. (2017): Development of a simulation tool for collaborative navigation systems14th Workshop on Positioning, Navigation and Communications (WPNC), S. 1–6
    DOI: 10.1109/WPNC.2017.8250074
  • Sun L., Dbouk H., Neumann I., Schön S. and Kreinovich V. (2017): Taking into Account Interval (and Fuzzy) Uncertainty Can Lead to More Adequate Statistical EstimatesFuzzy Logic in Intelligent System Design. NAFIPS 2017
    DOI: 10.1007/978-3-319-67137-6_41
  • Voges R. and Wieghardt C. S. and Wagner B. (2017): Timestamp Offset Determination between an Acuated Laser Scanner and its Corresponding MotorISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
    DOI: 10.5194/isprs-annals-IV-1-W1-99-2017
  • Vogel, S., Alkhatib, H., Neumann, I. (2016): Accurate Indoor Georeferencing with Kinematic Multi Sensor SystemsIEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2016, Alcalá de Henares (Madrid), Spain, October 4-7, 2016, p. 8
    DOI: 10.1109/IPIN.2016.7743601
  • W. Schroder-Preikschat and R. Kapitza and J. Kleinoder and M. Felser and K. Karmeier and T. H. Labella and F. Dressler (2007): Robust and Efficient Software Management in Sensor Networks2007 2nd International Conference on Communication Systems Software and Middleware
    DOI: 10.1109/COMSWA.2007.382471

Non Peer-Reviewed Literature

  • Moftizadeh, R., Bureick, J., Vogel, S., Neumann, I., Alkhatib, H. (2020): Information-Based Georeferencing by Dual State Iterated Extended Kalman Filter with Implicit Measurement Equations and Nonlinear Geometrical Constraints23rd International Conference on Information Fusion (FUSION) 2020, accepted
  • Schachtschneider, J., Brenner, C. (2020): Creating multi-temporal maps of urban environments for improved localization of autonomous vehiclesISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, accepted for publication
  • Trusheim, P., Heipke, C. (2020): Precision of visual localization using dynamic ground control pointsISPRS Congress 2020, accepted for publication
  • Bureick, J., Vogel, S., Neumann, I., Diener, D., Alkhatib, H. (2019): Geo-Referenzierung von Unmanned Aerial Systems über Laserscannermessungen und 3D-GebäudemodelleDVW e. V. (Hg.): Terrestrisches Laserscanning 2019 (TLS 2019). DVW-Schriftenreihe, Band 96, Wißner-Verlag, Augsburg, 2019, S. 63-74
  • Hesse, C., Holste K., Neumann, I. (2019): 3D HydroMapper, ein innovatives Über- und Unterwasserscansystem zur BauwerksinspektionDVW e. V. (Hg.): Terrestrisches Laserscanning 2019 (TLS 2019), DVW-Schriftenreihe, Band 96, Wißner-Verlag, Augsburg, 2019, S. 53-62
  • Hesse, C., Holste, K., Neumann, I., Hake, F., Alkhatib, H., Geist, M., Knaack, L., Scharr, C. (2019): 3D HydroMapper: Automatisierte 3D-Bauwerksaufnahme und Schadenserkennung unter Wasser für die Bauwerksinspektion und das Building Information ModellingHydrographische Nachrichten, Jg: 113, S. 26-29, 06/2019
    ISSN: 1866-9204
  • Holste, K., Hesse, C., Neumann, I., Bassen, S. (2019): 3D HydroMapper – digitale Inspektion von Bauwerken über und unter WasserBautechnik, 96/2019
    DOI: 10.1002/bate.201900097
  • Peters T., Brenner C. (2019): Automatic Generation of Large Point Cloud Training Datasets Using Label Transfer39. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 20. – 22. Februar 2019 in Wien, Thomas P. Kersten (Hrsg.)
    ISSN: 0942-2870
  • Politz F. und Sester M. (2019): Joint Classification of ALS and DIM Point CloudsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. XLII-2/W13, S. 1113–1120
    DOI: 10.5194/isprs-archives-XLII-2-W13-1113-2019
  • Tennstedt B., Schubert C., Schlippert D., Schön S. and Rasel E.M. (2019): Impact of uncertainties in atom interferometry on strapdown navigation solutionsProceedings of DGON Inertial Sensors and Systems (ISS), Braunschweig, Germany, 10.-11. September 2019
    DOI: 10.1109/ISS46986.2019.8943632
  • Busch, S. (2018): Smart Phone Accuracy of Multi-Camera Pedestrian Tracking in Overlapping Fields of ViewPublikationen der DGPF, Band 27, S. 86–102
  • Busch, S., Quehl, J. und Brenner, C. (2018): High Definition Mapping Using LiDAR Traced TrajectoriesPublikationen der DGPF, Band 27, S. 376–388
  • Mehltretter, M., Heipke, C. (2018): Illumination Invariant Dense Image Matching based on Sparse Features38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in München, Band 27, 584-596
  • Nguyen, U.; Rottensteiner, F.; Heipke, C. (2018): Object Proposals for Pedestrian Detection in Stereo Images38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in München, Band 27, 611-623. More Info
  • Politz F. und Sester M. (2018): Exploring ALS and DIM data for semantic segmentation using CNNsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. XLII-1, S. 347–354
    DOI: 10.5194/isprs-archives-XLII-1-347-2018
  • Politz F., Kazimi B. und Sester M. (2018): Classification of laser scanning data using deep learning38th Scientific Technical Annual Meeting of the German Society for Photogrammetry, Remote Sensing and Geoinformation. Bd. 27
  • Schön S., Kermarrec G., Kargoll B., Neumann I., Kosheleva O., Kreinovich V. (2018): Why Student Distributions? Why Matern’s Covariance Model? A Symmetry-Based ExplanationIn: Anh L., Dong L., Kreinovich V., Thach N. (eds) Econometrics for Financial Applications. ECONVN 2018. Studies in Computational Intelligence, vol 760. Springer, Cham
    DOI: 10.1007/978-3-319-73150-6_21
  • Sun L., Alkhatib H., Kargoll B., Kreinovich V., Neumann I. (2018): A new Kalman filter model for nonlinear systems based on ellipsoidal bounding
    arXiv: 1802.02970
  • Thiemann F., Cakir S. und Politz F. (2018): Generalisierung mittels Deep Learning (CNN) am Beispiel der Straßenextraktion aus GPS-Trajektorien38th Scientific Technical Annual Meeting of the German Society for Photogrammetry, Remote Sensing and Geoinformation. Bd. 27.
  • Blott, G. und Heipke, C. (2017): Bifocal Stereo for Multipath Person Re-IdentificationISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. XLII-2/W8, S. 37–44
    DOI: 10.5194/isprs-archives-XLII-2-W8-37-2017
  • Coenen, M. and Rottensteiner, F. and Heipke, C. (2017): Detection and 3D Modelling of Vehicles from Terrestrial Stereo Image PairsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    DOI: 10.5194/isprs-archives-XLII-1-W1-505-2017
  • Kermarrec G., Schön S., Kreinovich V. (2017): Possible Explanation of Empirical Values of the Matern Smoothness Parameter for the Temporal Covariance of GPS MeasurementsApplied Mathematical Sciences, 11(35):1733-1737
    DOI: DOI: 10.12988/ams.2017.75186
  • Schachtschneider, J. and Schlichting, A. and Brenner, C. (2017): Assessing Temporal Behavior in Lidar Point Clouds of Urban EnvironmentsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    DOI: 10.5194/isprs-archives-XLII-1-W1-543-2017

Presentations | Posters

  • Hake, F., Herrmann, M., Alkhatib, H., Hesse, C., Holste, K., Umlauf, G., Kermarrec, G., Neumann, I. (2020): Damage Detection for Port Infrastructure by Means of Machine-Learning-Algorithms, In: FIG (Hrsg.) Proceedings of FIG Working Week 2020. Amsterdam, Netherlands
  • Abdelaal M. und Schön S. (2019): Distributed Nonlinear Model Predictive Control for Connected Vehicles Trajectory Tracking and Collision Avoidance with Ellipse GeometryION GNSS+ 2019, Miami, USA
  • Busch, S. (2019): Active shape model precision analysis of vehicle detection in 3D LiDAR point cloudsInternational Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences
  • Coenen M. und Rottensteiner F. (2019): Probabilistic vehicle reconstruction using a multi-task CNNISPRS Geospatial Week 2019 in Enschede, The Netherlands
  • Dbouk H., Schön S. (2019): Interval-based Fault Detection and Exclusion for GNSSBook of Abstracts of the 12th Summer Workshop on Interval Methods, SWIM 2019, Palaiseau, France
  • Garcia Fernandez N. (2019): Collaborative navigation simulation tool using Kalman filter with implicit constraintsISPRS Geospatial Week, Enschede, Netherlands
  • Garcia Fernandez N. (2019): Optimal Collaborative PositioningSummer school on Cooperative Interactive Vehicles (CIV), Nouan-le-Fuzelier, France
  • Neumann, I. (2019): Kinematische Multi-Sensor-Systeme in der Ingenieurgeodäsie - qualitätsgesicherte Massendaten, aber bitte sofort!Eingeladener Vortrag auf der Jahressitzung des Ausschusses Geodäsie bei der Bayrischen Akademie der Wissenschaften, Carl Friedrich von Siemens Stiftung, München, 28.11.2019
  • Neumann, I. (2019): Aktuelle Ingenieurvermessung 2019 an der Hochschule: prozessorientiert, effizient und qualitätsgesichertEingeladene Vortrag auf dem VDV-Seminar zur „Aktuellen Ingenieurvermessung 2019“, Dortmund, 18.10.2019.
  • Tennstedt B. (2019): Impact of uncertainties in atom interferometry on strapdown navigation solutionsDGON Inertial Sensors and Systems (ISS), Braunschweig, Germany, 10. September 2019
  • Voges R. and Wagner B. (2019): Extrinsic Calibration Between a 3D Laser Scanner and a Camera Under Interval UncertaintyBook of Abstracts of the 12th Summer Workshop on Interval Methods (SWIM 2019), Palaiseau, France
  • Coenen M. (2018): Precise Vehicle Reconstruction for collaborative autonomous DrivingSummer School for cooperative interacting Vehicles 2018
  • Coenen M. (2018): Recovering the 3D pose and shape of vehicles from stereo imagesISPRS TCII Symposium 2018
  • Dbouk H. und Schön, S. (2018): Guaranteed Bounding Zones for GNSS Positioning by Geometrical ConstraintsBook of Abstracts of the 11th Summer Workshop on Interval Methods (SWIM 2018). Rostock, Germany
  • Garcia Fernandez N. and Schön S. (2018): Evaluating a LKF simulation tool for collaborative navigation systemsIEEE/ION Position, Location and Navigation Symposium (PLANS)
  • Sun, L. (2018): Geo-Referencing of a Multi-Sensor System Based on Set-membership Kalman FilterIn: 21st International Conference on Information Fusion (FUSION) 2018, Cambridge, United Kingdom, July 10-13, 2018
  • Tennstedt B. and Schön S. (2018): An Autonomous Transportation Vehicle for Algorithm and Sensor TestingProceedings of Navitec 2018, Poster, December 5.-7., Noordwijk, The Netherlands
  • Vogel, S. (2018): Iterated Extended Kalman Filter with Implicit Measurement Equation and Nonlinear Constraints for Information-Based GeoreferencingIn: 21st International Conference on Information Fusion (FUSION) 2018, Cambridge, United Kingdom, July 10-13, 2018
  • Voges, R. und Wagner, B. (2018): RGB-Laser Odometry Under Interval Uncertainty for Guaranteed LocalizationBook of Abstracts of the 11th Summer Workshop on Interval Methods (SWIM 2018)
  • Coenen M. (2017): Detection and 3D modelling of vehicles from mobile mapping stereo imagesISPRS Hannover Workshop 2017
  • Dbouk H. (2017): Comparison of Interval-Based Bounding Methods Applied to GNSS PositioningGeodetic Week, September 2017
  • Garcia Fernandez N. and Schön S. (2017): Development of a simulation tool for collaborative navigation systems14th Workshop on Positioning, Navigation and Communications (WPNC), S. 1–6
    DOI: 10.1109/WPNC.2017.8250074
  • Garcia Fernandez, N. and Schön, S. (2017): Multi-Vehicle Trajectory and Visibility Simulation for Collaborative Sensor NetworkKlausurtagung I.C.sens, Presentation, September 14-15. Harz
  • Vogel S. (2017): Knowledge-based Georeferencing with Kinematic Multi-Sensor Systems18. Internationaler Ingenieurvermessungskurs - PhD Student Session