Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "45eb5cbd-bb09-4faa-b0d3-69cf9bd6f93a"

Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "45eb5cbd-bb09-4faa-b0d3-69cf9bd6f93a"

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  • Bedoi: Benchmarks For Determining Overlapping Images With Photogrammetric Information 
    Zhan, H.; Yu, Y.F.; Xu, Y.W.; Hou, Q.B.; Xia, R.; Wang, X.; Feng, Y.; Zhan, Z.Q.; Li, M.L.; Gruber, M.; Hänsch, R.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2023)
    For conventional SfM pipeline, image matching is enduring limitation when considering the time efficiency. In the last few years, to speed up image matching procedure, many image retrieval works were proposed to fast find ...
  • Impact-Based Forecasting for Pluvial Floods 
    Rözer, V.; Peche, A.; Berkhahn, S.; Feng, Y.; Fuchs, L.; Graf, T.; Haberlandt, U.; Kreibich, H.; Sämann, R.; Sester, M.; Shehu, B.; Wahl, J.; Neuweiler, I. (Hoboken, NJ : Wiley-Blackwell, 2021)
    Pluvial floods in urban areas are caused by local, fast storm events with very high rainfall rates, which lead to inundation of streets and buildings before the storm water reaches a watercourse. An increase in frequency ...
  • Improving 3d pedestrian detection for wearable sensor data with 2d human pose 
    Kamalasanan, V.; Feng, Y.; Sester, M. (Katlenburg-Lindau : Copernicus Publications, 2022)
    Collisions and safety are important concepts when dealing with urban designs like shared spaces. As pedestrians (especially the elderly and disabled people) are more vulnerable to accidents, realising an intelligent mobility ...
  • Multi-scale building maps from aerial imagery 
    Feng, Y.; Yang, C.; Sester, M. (Katlenburg-Lindau : Copernicus Publications, 2020)
    Nowadays, the extraction of buildings from aerial imagery is mainly done through deep convolutional neural networks (DCNNs). Buildings are predicted as binary pixel masks and then regularized to polygons. Restricted by ...

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