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Photogrammetrie / Photogrammetry

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  • Behley, J. and C. Stachniss (2018)
    Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments
    Proceedings of Robotics: Science and Systems (RSS)
  • Bogoslavskyi, I. (2018)
    Robot Mapping and Navigation in Real-World Environments
    PhD Thesis, 2018
  • Chebrolu, N., T. Läbe, and C. Stachniss (2018)
    Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture
    Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA). 2018 and Robotics and Automation Letters, 3(4): 3097-3104
  • Della Corte, B., I. Bogoslavskyi, C. Stachniss, and G. Grisetti (2018)
    A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration
    Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2018
  • Franz, K., R. Roscher, A. Milioto, S. Wenzel, and J. Kusche (2018)
    Ocean Eddy Identification and Tracking using Neural Networks
    IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018
  • Huang, K. H. and C. Stachniss (2018)
    On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration
    Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2018
  • Huang, K. H. and C. Stachniss (2018)
    Joint Ego-motion Estimation Using a Laser Scanner and a Monocular Camera Through Relative Orientation Estimation and 1-DoF ICP
    Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2018
  • Jung, J., C. Stachniss, S. Ju, and J. Heo (2018)
    Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM
    ArXiv e-prints, 2018
  • Langer, F., L. Mandtler, A. Milioto, E. Palazzolo and C. Stachniss (2018)
    Geometrical Stem Detection from Image Data for Precision Agriculture
    WSEAS Transactions on Systems 17: 253-258
  • Lottes, P., J. Behley, A. Milioto, and C. Stachniss (2018)
    Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming
    Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA). 2018 andIEEE Robotics and Automation Letters, 3(4): 2870-2877
  • Lottes, P., J. Behley, N. Chebrolu, A. Milioto, and C. Stachniss (2018)
    Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming
    Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2018
  • Merfels, C. (2018)
    Sensor fusion for localization of automated vehicles
    PhD Thesis, 2018
  • Milioto, A. and C. Stachniss (2018)
    Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs
    ArXiv e-prints, 2018
  • Milioto, A., P. Lottes, and C. Stachniss (2018)
    Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs
    Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2018
  • Nardi, L. and C. Stachniss (2018)
    Towards Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs
    10th Workshop on Planning, Perception and Navigation for Intelligent Vehicles at the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2018
  • Naseer, T., W. Burgard, and C. Stachniss (2018)
    Robust Visual Localization Across Seasons
    IEEE Transactions on Robotics 34(2): 289-302
  • Palazzolo, E. and C. Stachniss (2018)
    Fast Image-Based Geometric Change Detection Given a 3D Model
    Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA) , 2018
  • Palazzolo, E. and C. Stachniss (2018)
    Effective Exploration for MAVs Based on the Expected Information Gain
    Drones 2(1): 9
  • Regier, P., A. Milioto, P. Karkowski, C. Stachniss and M. Bennewitz (2018)
    Classifying Obstacles and Exploiting Knowledge about Classes for Efficient Humanoid Navigation
    Proceedings of the IEEE International Conference on Humanoid Robots 2018
  • Sa, I., M. Popovic, R. Khanna, Z. Chen, P. Lottes, F. Liebisch, J. Nieto, C. Stachniss, and R. Siegwart (2018)
    WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming
    Remote Sensing 10(9): 1423
  • Walter, A., R. Khanna, P. Lottes, C. Stachniss, R. Siegwart, J. Nieto, and F. Liebisch (2018)
    Flourish – A robotic approach for automation in crop management
    Proceedings of the Intl. Conference on Precision Agriculture (ICPA) , 2018
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