Noha Radwan

PhD Thesis

• Noha Radwan
  Leveraging Sparse and Dense Features for Reliable State Estimation in Urban Environments
  PhD Thesis, University of Freiburg, Department of Computer Science, 2019
  BibTeX DOI .pdf

Preprints

• Noha Radwan, Abhinav Valada and Wolfram Burgard
  Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing arXiv preprint arXiv:1808.06887, 2018
  Download BibTeX Dataset

             
  	@article{radwan18arxiv-b,
  	author = "Noha Radwan and Abhinav Valada and Wolfram Burgard",
  	title = "Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing",
  	journal = "arXiv preprint arXiv:1808.06887",
  	month = "August",
  	year = "2018"}

Journal Articles

• Noha Radwan*, Abhinav Valada* and Wolfram Burgard
  VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
  IEEE Robotics and Automation Letters (RA-L), September 2018.
  Download BibTeX Dataset

  @article{radwan18ral,
  author = "Noha Radwan and Abhinav Valada and Wolfram Burgard",
  title = "VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry",
  journal = "IEEE Robotics and Automation Letters (RA-L)",
  month = "September",
  year = "2018",
   }

Conference Papers

• Abhinav Valada*, Noha Radwan* and Wolfram Burgard
  Deep Auxiliary Learning for Visual Localization and Odometry
  Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018
  Download BibTeX Video

  @INPROCEEDINGS{valada18icra,
    author      = {Abhinav Valada, Noha Radwan and Wolfram Burgard},
    title       = {Deep Auxiliary Learning for Visual Localization and Odometry},
    booktitle   = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},  
    address     = {Brisbane, Australia},
    year        = 2018,
    URL         = {http://ais.informatik.uni-freiburg.de/publications/papers/valada18icra.pdf}
  }

• Gabriel Oliveira*, Noha Radwan*, Wolfram Burgard and Thomas Brox
  Topometric Localization with Deep Learning
  Proceedings of the International Symposium on Robotics Research (ISRR), Puerto Varas, Chile, 2017
  Download BibTeX Video

  @INPROCEEDINGS{oliveira17isrr,
    author      = {Gabriel Oliveira, Noha Radwan, Wolfram Burgard and Thomas Brox},
    title       = {Topometric Localization with Deep Learning},
    booktitle   = {Proceedings of the International Symposium on Robotics Research (ISRR)},  
    address     = {Puerto Varas, Chile},
    year        = 2017,
    URL         = {http://ais.informatik.uni-freiburg.de/publications/papers/oliveira17isrr.pdf}
  }

• Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel and Gabriel Oliveira
  Perspectives on Deep Multimodal Robot Learning
  Proceedings of the International Symposium on Robotics Research (ISRR), Puerto Varas, Chile, 2017
  Download BibTeX

  @INPROCEEDINGS{Burgard_2017_isrr,
    author      = {Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel and Gabriel Oliveira},
    title       = {Perspectives on Deep Multimodal Robot Learning},
    booktitle   = {Proceedings of the International Symposium on Robotics Research (ISRR)},  
    address     = {Puerto Varas, Chile},
    year        = 2017,
    URL         = {http://ais.informatik.uni-freiburg.de/publications/papers/burgard17isrr.pdf}
  }

• Noha Radwan, Wera Winterhalter, Christian Dornhege, Wolfram Burgard
  Why Did the Robot Cross the Road? - Learning from Multi-Modal Sensor Data for Autonomous Road Crossing
  Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017
  Download BibTeX Video Dataset

     @INPROCEEDINGS{radwan17iros,
      author    = {Noha Radwan and Wera Winterhalter and Christian Dornhege and Wolfram Burgard},
      title     = {Why Did the Robot Cross the Road? - Learning from Multi-Modal Sensor Data for Autonomous Road Crossing},
      booktitle   = {Proc.~of the IEEE Int.~Conf.~on Intelligent Robots and Systems (IROS)},
      year      = {2017},
      URL         = {http://ais.informatik.uni-freiburg.de/publications/papers/radwan17iros.pdf}
   } 

• Noha Radwan, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard
  Do you see the Bakery? Leveraging Geo-Referenced Texts for Global Localization in Public Maps
  Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA), Stockholm, Sweden, 2016
  Download BibTeX

  @INPROCEEDINGS{radwan16icra,
    author      = {Noha Radwan and Gian Diego Tipaldi and Luciano Spinello and Wolfram Burgard},
    title       = {Do you see the Bakery? Leveraging Geo-Referenced Texts for Global Localization in Public Maps},
    booktitle   = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
    address     = {Stockholm, Sweden},
    year        = 2016,
    URL         = {http://ais.informatik.uni-freiburg.de/publications/papers/radwan16icra.pdf}
  }

Workshop Papers

• Noha Radwan and Wolfram Burgard
  Multitask Learning for Reliable State Estimation
  RSS Pioneers at Robotics: Science and Systems (RSS), Freiburg, Germany, 2019
  Download BibTeX

   @INPROCEEDINGS{radwan19rssws,
   author = "Noha Radwan and Wolfram Burgard",
   title = "Multitask Learning for Reliable State Estimation",
   booktitle = "RSS Pioneers at Robotics: Science and Systems (RSS)",
   month = "June",
   year = "2019",}

• Noha Radwan and Wolfram Burgard
  Effective Interaction-aware Trajectory Prediction using Temporal Convolutional Neural Networks
  Proceedings of the Workshop on Crowd Navigation: Current Challenges and New Paradigms for Safe Robot Navigation in Dense Crowds at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018
  Download BibTeX

   @INPROCEEDINGS{radwan18iros-ws,
   author = "Noha Radwan and Wolfram Burgard",
   title = "Effective Interaction-aware Trajectory Prediction using Temporal Convolutional Neural Networks",
   booktitle = "In Proc.~of the Workshop on Crowd Navigation: Current Challenges and New Paradigms for Safe Robot Navigation in Dense Crowds at IEEE/RSJ Int.~Conf.~on Intelligent Robots and Systems (IROS)",
   month = "October",
   year = "2018",}

• Abhinav Valada*, Noha Radwan* and Wolfram Burgard
  Incorporating Semantic and Geometric Priors in Deep Pose Regression
  Proceedings of the Workshop on Learning and Inference in Robotics: Integrating Structure, Priors and Models at Robotics: Science and Systems (RSS), Pittsburgh, USA, 2018
  Download BibTeX

   @INPROCEEDINGS{valada18rsslair,
   author = "Abhinav Valada and Noha Radwan and Wolfram Burgard",
   title = "Incorporating Semantic and Geometric Priors in Deep Pose Regression",
   booktitle = "In Proc.~of the Workshop on Learning and Inference in Robotics:
   Integrating Structure, Priors and Models at Robotics: Science and Systems (RSS)",
   month = "June",
   year = "2018",}