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Photogrammetrie / Photogrammetry

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  • Ahmadi, A., L. Nardi, N. Chebrolu, and C. Stachniss (2020)
    Visual Servoing-based Navigation for Monitoring Row-Crop Fields
    Journal of Field Robotics 37(1): 20–34
    https://arxiv.org/abs/1909.12754
  • Lottes, P., J. Behley, N. Chebrolu, A. Milioto, and C. Stachniss (2020)
    Robust joint stem detection and crop‐weed classificationusing image sequences for plant‐specific treatment inprecision farming
    Journal of Field Robotics 37(1): 20–34
    https://doi.org/10.1002/rob.21901
  • Quenzel, J., R. A. Rosu, T. Laebe, C. Stachniss, and S. Behnke (2020)
    Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching
    Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020
    http://www.ipb.uni-bonn.de/pdfs/quenzel2020icra.pdf
  • Regier, P., A. Milioto, C. Stachniss, and M. Bennewitz (2020)
    Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments
    The Int. Journal of Humanoid Robotics (IJHR), vol. 17 iss 2, p. 2050013, 2020
    https://doi.org/10.1142/S0219843620500139
  • Sheikh, R., A. Milioto, P. Lottes, C. Stachniss, M. Bennewitz, and T. Schultz (2020)
    Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots
    Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020
    https://doi.org/10.1142/S0219843620500139
  • Wu, X., S. Aravecchia, P. Lottes, C. Stachniss, and C. Pradalier (2020)
    Robotic Weed Control Using Automated Weed and Crop Classification
    Journal of Field Robotics, Vol. 37, p. 322-340
    https://doi.org/10.1002/rob.21938

 

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