@inproceedings{SiekmannMueller2011,
  author    = {Siekmann, Thomas and M{\"u}ller, Karsten},
  title     = {Adaptive potential of the stormwater management in urban areas faced by the climate change},
  series = {12th International Conference on Urban Drainage, Porto Alegre/Brazil, 11-16 September 2011},
  booktitle = {12th International Conference on Urban Drainage, Porto Alegre/Brazil, 11-16 September 2011},
  pages     = {9 S.},
  year      = {2011},
  language  = {en}
}
@inproceedings{StepkesZimmermannMuelleretal.2007,
  author    = {Stepkes, Hermann and Zimmermann, J. and M{\"u}ller, Karsten and Siekmann, Marko and Pinnekamp, Josef},
  title     = {Economical rehabilitation of sewer systems by ground penetration radar investigations},
  series = {Strategic asset management of water supply and wastewater infrastructures : invited papers from the 2nd IWA Leading Edge Conference on Strategic Asset Management (LESAM), Lisbon, October [17 - 19] 2007 / ed. by Helene Alegre and Maria do C{\´e}u Almeida},
  booktitle = {Strategic asset management of water supply and wastewater infrastructures : invited papers from the 2nd IWA Leading Edge Conference on Strategic Asset Management (LESAM), Lisbon, October [17 - 19] 2007 / ed. by Helene Alegre and Maria do C{\´e}u Almeida},
  publisher = {IWA Publ.},
  address   = {London},
  isbn      = {9781843391869},
  pages     = {501 -- 520},
  year      = {2007},
  language  = {en}
}
@inproceedings{MuellerHueben2008,
  author    = {M{\"u}ller, Karsten and H{\"u}ben, Susanne},
  title     = {From rehabilitation strategy up to formation of lots : implementation of a computer-aided decision support system},
  series = {11th International Conference on Urban Drainage, Edinburgh, Scotland, UK, 31st August to 5th September 2008},
  booktitle = {11th International Conference on Urban Drainage, Edinburgh, Scotland, UK, 31st August to 5th September 2008},
  pages     = {12 S. : graph. Darst.},
  year      = {2008},
  language  = {en}
}
@inproceedings{MuellerFischer2009,
  author    = {M{\"u}ller, Karsten and Fischer, B.},
  title     = {Objective condition assessment of sewer systems},
  series = {Strategic asset management of water supply and wastewater infrastructures : invited papers from the 2nd IWA Leading Edge Conference on Strategic Asset Management (LESAM), Lisbon, October [17 - 19] 2007 / ed. by Helene Alegre and Maria do C{\´e}u Almeida},
  booktitle = {Strategic asset management of water supply and wastewater infrastructures : invited papers from the 2nd IWA Leading Edge Conference on Strategic Asset Management (LESAM), Lisbon, October [17 - 19] 2007 / ed. by Helene Alegre and Maria do C{\´e}u Almeida},
  publisher = {IWA Publ.},
  address   = {London},
  isbn      = {9781843391869},
  pages     = {521 -- 534},
  year      = {2009},
  language  = {en}
}
@article{KirsteinMuellerWaleckiMingersetal.2012,
  author    = {Kirstein, Simon and M{\"u}ller, Karsten and Walecki-Mingers, Mark and Deserno, Thomas M.},
  title     = {Robust adaptive flow line detection in sewer pipes},
  series = {Automation in construction},
  journal   = {Automation in construction},
  number    = {21},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1872-7891 (E-Journal) ; 0926-5805 (Print)},
  doi       = {10.1016/j.autcon.2011.05.009},
  pages     = {24 -- 31},
  year      = {2012},
  abstract  = {As part of a novel approach to automatic sewer inspection, this paper presents a robust algorithm for automatic flow line detection. A large image repository is obtained from about 50,000 m sewers to represent the high variability of real world sewer systems. Automatic image processing combines Canny edge detection, Hough transform for straight lines and cost minimization using Dijkstra's shortest path algorithm. Assuming that flow lines are mostly smoothly connected horizontal structures, piecewise flow line delineation is reduced to a process of selecting adjacent line candidates. Costs are derived from the gap between adjacent candidates and their reliability. A single parameter α enables simple control of the algorithm. The detected flow line may precisely follow the segmented edges (α = 0.0) or minimize gaps at joints (α = 1.0). Both, manual and ground truth-based analysis indicate that α = 0.8 is optimal and independent of the sewer's material. The algorithm forms an essential step to further automation of sewer inspection.},
  language  = {en}
}
@inproceedings{GanegedaraAlahakoonMashfordetal.2012,
  author    = {Ganegedara, H. and Alahakoon, D. and Mashford, J. and Paplinski, A. and M{\"u}ller, Karsten and Deserno, T. M.},
  title     = {Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections},
  series = {The 2012 International Joint Conference on Neural Networks (IJCNN) : 10 - 15 June 2012, Brisbane, Australia ; [part of the] 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012)},
  booktitle = {The 2012 International Joint Conference on Neural Networks (IJCNN) : 10 - 15 June 2012, Brisbane, Australia ; [part of the] 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012)},
  publisher = {IEEE},
  address   = {Piscataway, NJ},
  organization    = {IEEE Computational Intelligence Society (IEEE-CIS)},
  isbn      = {978-1-4673-1490-9},
  pages     = {8 S.},
  year      = {2012},
  language  = {en}
}