Zichao Zhang
Title
Cited by
Cited by
Year
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
3322016
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
922016
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
742018
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
292017
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
252018
Perception-aware Receding Horizon Navigation for MAVs
Z Zhang, D Scaramuzza
IEEE International Conference on Robotics and Automation (ICRA), 2018., 2018
122018
Visual-Inertial Odometry of Aerial Robots
D Scaramuzza, Z Zhang
Encyclopedia of Robotics, Springer, 2020., 2020
72020
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
62018
Beyond Point Clouds: Fisher Information Field for Active Visual Localization
Z Zhang, D Scaramuzza
IEEE International Conference on Robotics and Automation (ICRA), 2019., 2019
32019
Voxel Map for Visual Slam
M Muglikar, Z Zhang, D Scaramuzza
IEEE International Conference on Robotics and Automation (ICRA), 2020., 2020
12020
Reference Pose Generation for Visual Localization via Learned Features and View Synthesis
Z Zhang, T Sattler, D Scaramuzza
arXiv preprint arXiv:2005.05179, 2020
2020
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
2020
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
2019
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Articles 1–13