Noha Radwan - Google Scholar

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	All	Since 2015
Citations	230	226
h-index	6	6
i10-index	5	5

120

20172018201920206 32 119 69

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Wolfram BurgardProfessor of Computer Science, University of FreiburgVerified email at informatik.uni-freiburg.de
Abhinav ValadaAssistant Professor of Robot Learning, University of FreiburgVerified email at cs.uni-freiburg.de
Gabriel Leivas OliveiraBorealis AIVerified email at informatik.uni-freiburg.de
Thomas BroxProfessor at the University of Freiburg and Amazon ScholarVerified email at cs.uni-freiburg.de
Gian Diego TipaldiLecturer in Mobile Robotics, University of Freiburg, GermanyVerified email at informatik.uni-freiburg.de
Luciano SpinelloApple. Previously Amazon, UniFreiburg, ETH Zurich PhDVerified email at cs.uni-freiburg.de
Johan VertensUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Andreas EitelPhD Student, University of FreiburgVerified email at cs.uni-freiburg.de
Tayyab NaseerLyft Level 5, Self-driving divisionVerified email at lyft.com
Oier MeesUniversity of FreiburgVerified email at informatik.uni-freiburg.de

Noha Radwan

Google Research

Verified email at google.com - Homepage

Perception Machine Learning Mobile Robotics


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Deep auxiliary learning for visual localization and odometry A Valada, N Radwan, W Burgard 2018 IEEE International Conference on Robotics and Automation (ICRA), 6939-6946, 2018	87	2018
Vlocnet++: Deep multitask learning for semantic visual localization and odometry N Radwan, A Valada, W Burgard IEEE Robotics and Automation Letters 3 (4), 4407-4414, 2018	78	2018
Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing N Radwan, A Valada, W Burgard arXiv preprint arXiv:1808.06887, 2018	19	2018
Topometric localization with deep learning GL Oliveira, N Radwan, W Burgard, T Brox Robotics Research, 505-520, 2020	16	2020
Do you see the bakery? leveraging geo-referenced texts for global localization in public maps N Radwan, GD Tipaldi, L Spinello, W Burgard 2016 IEEE International Conference on Robotics and Automation (ICRA), 4837-4842, 2016	11	2016
Incorporating Semantic and Geometric Priors in Deep Pose Regression A Valada, N Radwan, W Burgard	8*
Why Did the Robot Cross the Road?-Learning from Multi-Modal Sensor Data for Autonomous Road Crossing N Radwan, W Winterhalter, C Dornhege, W Burgard Proc.~ of the IEEE, 0	5*
Effective Interaction-aware Trajectory Prediction using Temporal Convolutional Neural Networks N Radwan, W Burgard Proceedings of the Workshop on Crowd Navigation: Current Challenges and New …, 2018	3	2018
Perspectives on Deep Multimodel Robot Learning W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...	3*
Leveraging Sparse and Dense Features for Reliable State Estimation in Urban Environments N Radwan University of Freiburg, Freiburg im Breisgau, Germany, 2019		2019
Multitask Learning for Reliable State Estimation N Radwan, W Burgard

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