Marios Xanthidis
TitleCited byYear
Experimental comparison of open source vision-based state estimation algorithms
AQ Li, A Coskun, SM Doherty, S Ghasemlou, AS Jagtap, M Modasshir, ...
International Symposium on Experimental Robotics, 775-786, 2016
Shallow coral reef surveying by inexpensive drifters
M Xanthidis, AQ Li, I Rekleitis
OCEANS 2016-Shanghai, 1-9, 2016
Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain
B Joshi, S Rahman, M Kalaitzakis, B Cain, J Johnson, M Xanthidis, ...
arXiv preprint arXiv:1904.02215, 2019
Active localization with dynamic obstacles
AQ Li, M Xanthidis, JM O'Kane, I Rekleitis
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Vision-based shipwreck mapping: on evaluating features quality and open source state estimation packages
AQ Li, A Coskun, SM Doherty, S Ghasemlou, AS Jagtap, M Modasshir, ...
OCEANS 2016 MTS/IEEE Monterey, 1-10, 2016
RRT+: Fast Planning for High-Dimensional Configuration Spaces
M Xanthidis, I Rekleitis, JM O'Kane
arXiv preprint arXiv:1612.07333, 2016
Dynamically efficient kinematics for hyper-redundant manipulators
M Xanthidis, KJ Kyriakopoulos, I Rekleitis
2016 24th Mediterranean Conference on Control and Automation (MED), 207-213, 2016
Analysis of Motion Planning by Sampling in Subspaces of Progressively Increasing Dimension
MP Xanthidis, JM Esposito, I Rekleitis, JM O'Kane
arXiv preprint arXiv:1802.00328, 2018
Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle
M Xanthidis, N Karapetyan, H Damron, S Rahman, J Johnson, JM O'Kane, ...
arXiv preprint arXiv:1903.11750, 2019
On Understanding the Challenges in Vision-Based Shipwreck Mapping
AQ Li, A Coskun, SM Doherty, S Ghasemlou, AS Jagtap, M Modasshir, ...
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