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Noha Radwan

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 80
D-79110 Freiburg i. Br., Germany
Office:   00 008

radwann@informatik.uni-freiburg.de
Phone:   +49 761 203-8011
Fax:   +49 761 203-8007

About me

  • 09/2007 - 06/2012: Bachelor o.Sc. in Computer Science, German University in Cairo
  • 10/2012 - 03/2015: Master o.Sc. in Computer Science, University of Freiburg
  • 04/2015 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as Doctoral Research Assistant

Research Interests

  • Perception
  • Visual Localization

Current Research Projects

  • EUROPA2: Lifelong navigation in urban environments

Publications

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

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

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
  • 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
  • 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
  • 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
  • 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

Workshop Papers

  • 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
  • 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
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Teaching

News
  • Sept 2018: VLocNet++ which achieves state-of-the-art visual localization performance by leveraging the semantic and geometric knowledge of the environment is accepted for IEEE RA-L journal.
  • Jul 2018: Our workshop paper on Effective Interaction-aware Trajectory Prediction using Temporal Convolutional Neural Networks got accepted for IROS'18 workshop on Crowd Navigation.
  • Jun 2018: Our workshop paper on Incorporating Semantic and Geometric Priors in Deep Pose Regression got accepted for RSS'18-LAIR.
  • May 2018: DeepLoc goes live!
  • May 2018: Our proposal on Autonomous Street Crossing with City Navigation Robots just got accepted by the DFG.
  • Jan 2018: VLocNet the first CNN based localization method to outperform local feature based techniques is accepted for ICRA'18.
  • Nov 2017: I was awarded the Doctoral Consortium Grant at ISRR'17.
  • Nov 2017: Invited to give a talk titled Towards Integrating Autonomous Robots in Urban Environments at the Observing Leaders of the future session at World Youth Forum, Sharm El Sheikh, Egypt.
  • Sep 2017: Perspectives on Deep Multimodal Robot Learning is accepted as one of the 16 papers selected for ISRR'17 Blue Sky papers.
  • Sep 2017: Topometric Localization with Deep Learning is accepted for ISRR'17.
  • Jun 2017: Our paper on autonomous street crossing for pedestrian assistant robots is accepted for IROS'17.
  • Jan 2017: Successful final demo for the EUROPA2 project. [Video].
  • May 2016: Our work on Probabilistic Camera Localization from Images using Text Spotting is accepted for the Duetsche Gesellschaft fuer Robotik-Tage 2016 (DGR Days 2016).
  • Jan 2016: Our paper on Leveraging Geo-Referenced Texts for Global Localization in Public Maps is accepted for ICRA'16.
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