2017

  • R. Khanna, I. Sa, J. Nieto and R. Siegwart. On field radiometric calibration for multispectral cameras. In International Conference on Robotics and Automation (ICRA), 2017. PDF
  • C. Potena, D. Nardi and A. Pretto. Effective Target Aware Optimal Visual Navigation for UAVs. In The European Conference on Mobile Robotics (ECMR), 2017. PDF
  • D. Albani, D. Nardi and T. Vito. Field Coverage and Weed Mapping by UAV Swarms. In International Conference on Intelligent Robots and Systems (IROS), 2017.
  • H. Sommer, R. Khanna, I. Gilitschenski, Z. Taylor, R. Siegwart and J. Nieto. A Low-Cost System for High-Rate, High-Accuracy Temporal Calibration for LIDARs and Cameras. In International Conference on Intelligent Robots and Systems (IROS), 2017. PDF
  • I. Sa, M. Kamel, R. Khanna, M. Popovic, J. Nieto and R. Siegwart. Dynamic System Identification, and Control for a cost effective open-source VTOL MAV. In Field and Service Robotics, 2017. PDF
  • M. Popovic, T. Vidal Calleja, G. Hitz, I. Sa, R. Siegwart and J. Nieto. Multiresolution Mapping and Informative Path Planning for UAV-based Terrain Monitoring. In International Conference on Intelligent Robots and Systems (IROS), 2017. PDF
  • A. R. Vetrella, I. Sa, M. Popovic, R. Khanna, J. Nieto, G. Fasano, D. Accardo and R. Siegwart. Improved Tau-Guidance and Vision-aided Navigation for Robust Autonomous Landing of UAVs. In Field and Service Robotics, 2017. PDF
  • M. Di Cicco, C. Potena, G. Grisetti and A. Pretto. Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection. In International Conference on Intelligent Robots and Systems (IROS), 2017. PDF
  • Z. Chen, F. Maffra and I. Sa. Only Look Once, Mining Distinctive Landmarks from ConvNet for Visual Place Recognition. In International Conference on Intelligent Robots and Systems (IROS), 2017. PDF
  • Lukas Luft, Alexander Schaefer, Tobias Schubert and Wolfram Burgard. Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors. In International Conference on Intelligent Robots and Systems (IROS), 2017. PDF
  • A. Milioto, P. Lottes and C. Stachniss. Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. arXiv preprint:1709.06764, 2017. PDF
  • Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens and Wolfram Burgard. From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields. In International Conference on Intelligent Robots and Systems (IROS) Workshop, Agri-Food Robotics, 2017. PDF
  • C. Müller-Ruh, F. Liebisch, J. Pfeifer and A. Walter. Investigation of ground based and airborne spectral information for Nitrogen fertilizer application optimization in sugar beet. Bornimer Agrartechnische Berichte, vol. 90, 2017.
  • J. Hwangbo, I. Sa, R. Siegwart and M. Hutter. Control of a Quadrotor With Reinforcement Learning. IEEE Robotics and Automation Letters (RAL), vol. 2 no. 4, pages 2096-2103, 2017. [DOI]
  • I. Sa, M. Kamel, M. Burri, M. Bloesch, R. Khanna, M. Popovic, J. Nieto and R. Siegwart. Build your own visual-inertial odometry aided cost-effective and open-source autonomous drone. ArXiv e-prints, 2017. http://adsabs.harvard.edu/abs/2017arXiv170806652S.
  • A. Milioto, P. Lottes and C. Stachniss. Real-time Blob-wise Sugar Beets vs Weeds Classification for Monitoring Fields using Convolutional Neural Networks. In ISPRS Conference on Unmanned Aerial Vehicles in Geomatics (UAV-g), 2017. PDF
  • P. Lottes and C. Stachniss. Semi-Supervised Online Visual Crop and Weed Classification in Precision Farming Exploiting Plant Arrangement. In International Conference on Intelligent Robots and Systems (IROS), 2017. PDF
  • M. Popovic, G. Hitz, J. Nieto, I. Sa, R. Siegwart and E. Galceran. Online Informative Path Planning for Active Classification Using UAVs. In International Conference on Robotics and Automation (ICRA). IEEE, 2017. PDF
  • A. Schaefer, L. Luft and W. Burgard. An Analytical Lidar Sensor Model Based on Ray Path Information. IEEE Robotics and Automation Letters (RAL), 2017. [DOI]
  • P. Lottes, R. Khanna, J. Pfeifer, R. Siegwart and C. Stachniss. UAV-Based Crop and Weed Classification for Smart Farming. In International Conference on Robotics and Automation (ICRA), 2017. PDF
  • F. Fleckenstein, C. Dornhege and W. Burgard. Efficient Path Planning for Mobile Robots with Adjustable Wheel Positions. In International Conference on Robotics and Automation (ICRA), 2017. PDF
  • N. Chebrolu, P. Lottes, A. Schaefer, W. Winterhalter, W. Burgard and C. Stachniss. Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields. The Internatiounal Journal of Robotics Research (IJRR), 2017. PDF [DOI]

2016

  • J. Schneider, C. Stachniss and W. Förstner. On the Accuracy of Dense Fisheye Stereo. IEEE Robotics and Automation Letters, vol. 1 no. 1, pages 227-234, 2016. PDF
  • J. Schneider, C. Eling, L. Klingbeil, H. Kuhlmann, C. Stachniss and others. Fast and effective online pose estimation and mapping for UAVs. In IEEE International Conference on Robotics & Automation (ICRA), pages 4784-4791. IEEE, 2016. PDF
  • P. Lottes, M. Hoeferlin, S. Sander, M. Müter, P. Schulze-Lammers and C. Stachniss. An Effective Classification System for Separating Sugar Beets and Weeds for Precision Farming Applications. In IEEE International Conference on Robotics & Automation (ICRA), 2016. PDF
  • M. Popovic, G. Hitz, J. Nieto, R. Siegwart and E. Galceran. Online Informative Path Planning for Active Classification on UAVs. arXiv preprint arXiv:1606.08164, 2016. PDF
  • F. Liebisch, J. Pfeifer, R. Khanna, P. Lottes, C. Stachniss, T. Falck, S. Sander, R. Siegwart, A. Walter and E. Galceran. Flourish-A robotic approach for automation in crop management. 22. Workshop Computer-Bildanalyse und Unbemannte autonom fliegende Systeme in der Landwirtschaft, 2016. PDF
  • J. Pfeifer, R. Khanna, D. Constantin, M. Popovic, E. Galceran, N. Kirchgessner, A. Walter, R. Siegwart and F. Liebisch. Towards automatic UAV data interpretation for precision farming. In International Conference of Agricultural Engineering (CIGR-AgEng), 2016. PDF
  • C. Potena, D. Nardi and A. Pretto. Fast and Accurate Crop and Weed Identification with Summarized Train Sets for Precision Agriculture. In International Conference on Intelligent Autonomous Systems (IAS), 2016.

2015

  • R. Khanna, M. Moller, J. Pfeifer, F. Liebisch, A. Walter and R. Siegwart. Beyond point clouds - 3D mapping and field parameter measurements using UAVs. In Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on, pages 1-4. IEEE, 2015. PDF
  • M. Imperoli and A. Pretto. D2CO: Fast and Robust Registration of 3D Textureless Objects using the Directional Chamfer Distance. In Proc. of: 10th International Conference on Computer Vision Systems, pages 316-328, 2015. PDF
  • R. Khanna, J. Rehder, M. Möller, E. Galceran and R. Siegwart. Studying Phenotypic Variability in Crops using a Hand-held Sensor Platform. In IROS Workshop on Agri-Food Robotics, 2015. PDF