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2020 – today
- 2023
[c2]Shiva Agrawal
, Savankumar Bhanderi, Sumit Amanagi, Kristina Doycheva, Gordon Elger:
Instance Segmentation and Detection of Children to Safeguard Vulnerable Traffic User by Infrastructure. VEHITS 2023: 206-214- 2022
- [c1]Shiva Agrawal, Rui Song, Kristina Doycheva, Alois Knoll, Gordon Elger:
Intelligent Roadside Infrastructure for Connected Mobility. SMARTGREENS/VEHITS (Selected Papers) 2022: 134-157 - 2020
- [b1]Kristina Doycheva:
GPU-enabled real-time pavement distress detection based on computer vision and deep learning. Ruhr University Bochum, Germany, 2020
2010 – 2019
- 2019
- [j4]Kristina Doycheva, Christian Koch, Markus König:
Implementing textural features on GPUs for improved real-time pavement distress detection. J. Real Time Image Process. 16(5): 1383-1394 (2019) - 2017
- [j3]Kristina Doycheva, Gordon Horn, Christian Koch, Andreas Schumann, Markus König:
Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning. Adv. Eng. Informatics 33: 427-439 (2017) - [j2]Kristina Doycheva, Christian Koch, Markus König:
GPU-Enabled Pavement Distress Image Classification in Real Time. J. Comput. Civ. Eng. 31(3) (2017) - 2016
- [j1]Christian Koch, Kristina Doycheva, Varun Kasireddy, Burcu Akinci, Paul W. Fieguth:
Corrigendum to "A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure" [Advanced Engineering Informatics 29(2) (2015) 196-210]. Adv. Eng. Informatics 30(2): 208-210 (2016)
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