| Robust visual robot localization across seasons using network flows T Naseer, L Spinello, W Burgard, C Stachniss Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 249 | 2014 |
| Deep Regression for Monocular Camera-based 6-DoF Global Localization in Outdoor Environments T Naseer, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 163 | 2017 |
| Robust visual localization across seasons T Naseer, W Burgard, C Stachniss IEEE Transactions on Robotics 34 (2), 289-302, 2018 | 159 | 2018 |
| Semantics-aware Visual Localization under Challenging Perceptual Conditions T Naseer, GL Oliveira, T Brox, W Burgard IEEE International Conference on Robotics and Automation, 2017 | 151 | 2017 |
| FollowMe: Person Following and Gesture Recognition with a Quadrocopter T Naseer, J Sturm, D Cremers IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'13), 2013 | 132 | 2013 |
| Robust Visual SLAM Across Seasons T Naseer, M Ruhnke, C Stachniss, L Spinello, W Burgard Proceedings of the IEEE International Conference on Intelligent Robots and …, 2015 | 112 | 2015 |
| Efficient and effective matching of image sequences under substantial appearance changes exploiting GPS priors O Vysotska, T Naseer, L Spinello, W Burgard, C Stachniss 2015 IEEE International Conference on Robotics and Automation (ICRA), 2774-2779, 2015 | 52 | 2015 |
| Vision-based Markov localization for long-term autonomy T Naseer, B Suger, M Ruhnke, W Burgard Robotics and Autonomous Systems 89, 147-157, 2017 | 23 | 2017 |
| Deep regression for monocular camera-based 6-dof global localization in outdoor environments. In 2017 IEEE T Naseer, W Burgard RSJ International Conference on Intelligent Robots and Systems (IROS), 1525-1530, 0 | 18 | |
| DTLC: Deeply trained loop closure detections for lifelong visual SLAM M Shahid, T Naseer, W Burgard Proceedings, Workshop on Visual Place Recognition, Conference on Robotics …, 2016 | 14 | 2016 |
| Vision-Based Markov Localization Across Large Perceptual Changes T Naseer, B Suger, M Ruhnke, W Burgard Proceedings of the IEEE European Conference on Mobile Robotics (ECMR), 2015 | 13 | 2015 |
| Perspectives on deep multimodel robot learning W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ... Robotics Research: The 18th International Symposium ISRR, 17-24, 2020 | 11 | 2020 |
| 751 Radojevic, M.; et al. An Objective Comparison of Cell-Tracking Algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature Methods 14, 1141-1152, 2017 | 9* | 2017 |
| Offline optimization of sensor data for agent trajectories F Brizzi, L Del Pero, T Naseer, L Peppoloni US Patent App. 17/190,312, 2022 | 4 | 2022 |
| Quantity over quality: Training an AV motion planner with large scale commodity vision data L Platinsky, T Naseer, H Chen, B Haines, H Zhu, H Grimmett, L Del Pero 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 2022 |
| Scalable primitives for generalized sensor fusion in autonomous vehicles S Sidhu, L Wang, T Naseer, A Malhotra, J Chia, A Ahuja, E Rasmussen, ... arXiv preprint arXiv:2112.00219, 2021 | 1 | 2021 |
| Method and device for providing data for creating a digital map T Naseer, P Saranrittichai, C Hasberg US Patent 11,941,892, 2024 | | 2024 |
| Method for determining a localization pose of an at least partially automated mobile platform C Hasberg, P Saranrittichai, T Naseer US Patent 11,854,225, 2023 | | 2023 |
| Method and device for supplying radar data C Hasberg, P Saranrittichai, T Naseer US Patent 11,733,373, 2023 | | 2023 |
| Method for Training an Artificial Neural Network C Hasberg, T Naseer, P Saranrittichai US Patent App. 17/997,585, 2023 | | 2023 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
