Project Details
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Sensor fusion for autonomous robotics in unstructured environments

Subject Area Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics
Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Term from 2011 to 2017
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 195328341
 
Final Report Year 2018

Final Report Abstract

No abstract available

Publications

  • Markov random field terrain classification for autonomous robots in unstructured terrain, Uni koblenz, Diss., 2014
    Häselich, Marcel
  • Autonomous 3D Terrain Mapping and Object Localization for the SpaceBot Camp 2015. In: Proceedings of the 13th International Symposium on Artificial Intelligence, Robotics and Automation in Space. Beijing, China, 2016
    Neuhaus, N. F. W. F. Wojke ; Winkens, C. ; Krayer, B. ; Buchacher, A. ; Paulus, D. ; Häselich, M.
  • Semantic Mapping for Mobile Outdoor Robots. In: Proceedings of the International Conference on Machine Vision Applications, 2015, S. 325–328
    Lang, Dagmar ; Friedmann, Susanne ; Hedrich, Jens ; Paulus, Dietrich
    (See online at https://dx.doi.org/10.1109/MVA.2015.7153196)
  • A ROS-based System for an Autonomous Service Robot. Version: 2016. In: Koubaa, Anis (Hrsg.): Robot Operating System (ROS): The Complete Reference (Volume 1) Bd. 625. Heidelberg : Springer, 2016. ISBN 978–3–319–26054–9, S. 215–252
    Seib, Viktor ; Memmesheimer, Raphael ; Paulus, Dietrich
    (See online at https://dx.doi.org/ 10.1007/978-3-319-26054-9)
 
 

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