| SVO: Semidirect visual odometry for monocular and multicamera systems C Forster, Z Zhang, M Gassner, M Werlberger, D Scaramuzza IEEE Transactions on Robotics 33 (2), 249-265, 2016 | 1017 | 2016 |
| A Tutorial on Quantitative Trajectory Evaluation for Visual (-Inertial) Odometry Z Zhang, D Scaramuzza IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2018 | 702 | 2018 |
| Benefit of large field-of-view cameras for visual odometry Z Zhang, H Rebecq, C Forster, D Scaramuzza 2016 IEEE International Conference on Robotics and Automation (ICRA), 801-808, 2016 | 233 | 2016 |
| Reference pose generation for long-term visual localization via learned features and view synthesis Z Zhang, T Sattler, D Scaramuzza International Journal of Computer Vision 129 (4), 821-844, 2021 | 142 | 2021 |
| Visual-Inertial Odometry of Aerial Robots D Scaramuzza, Z Zhang Encyclopedia of Robotics, Springer, 2020., 2020 | 131* | 2020 |
| Active exposure control for robust visual odometry in HDR environments Z Zhang, C Forster, D Scaramuzza 2017 IEEE international conference on robotics and automation (ICRA), 3894-3901, 2017 | 92 | 2017 |
| Perception-aware Receding Horizon Navigation for MAVs Z Zhang, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2018., 2018 | 88 | 2018 |
| Learning-based image enhancement for visual odometry in challenging HDR environments R Gomez-Ojeda, Z Zhang, J Gonzalez-Jimenez, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2018., 2018 | 61 | 2018 |
| Redesigning SLAM for Arbitrary Multi-Camera Systems J Kuo, M Muglikar, Z Zhang, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2020., 2020 | 54 | 2020 |
| Beyond Point Clouds: Fisher Information Field for Active Visual Localization Z Zhang, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2019., 2019 | 44 | 2019 |
| Fisher information field: an efficient and differentiable map for perception-aware planning Z Zhang, D Scaramuzza arXiv preprint arXiv:2008.03324, 2020 | 38 | 2020 |
| Voxel Map for Visual SLAM M Muglikar, Z Zhang, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2020., 2020 | 30 | 2020 |
| On the comparison of gauge freedom handling in optimization-based visual-inertial state estimation Z Zhang, G Gallego, D Scaramuzza IEEE Robotics and Automation Letters 3 (3), 2710-2717, 2018 | 23 | 2018 |
| Rethinking Trajectory Evaluation for SLAM: a Probabilistic, Continuous-Time Approach Z Zhang, D Scaramuzza ICRA19 Workshop on Dataset Generation and Benchmarking of SLAM Algorithms …, 2019 | 9 | 2019 |
| Active robot vision: from state estimation to motion planning Z Zhang Universität Zürich, 2020 | 7 | 2020 |
| Online Temporal Fusion for Vectorized Map Construction in Mapless Autonomous Driving J Chen, L Pan, S Ji, J Zhao, Z Zhang arXiv preprint arXiv:2409.00593, 2024 | | 2024 |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichBestätigte E-Mail-Adresse bei ifi.uzh.ch
