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Daniel Ricao Canelhas

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affiliation: Örebro University, Center of Applied Autonomous Sensor Systems, Sweden

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2010 – 2019

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2018
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Daniel Ricao Canelhas, Todor Stoyanov, Achim J. Lilienthal:
A Survey of Voxel Interpolation Methods and an Evaluation of Their Impact on Volumetric Map-Based Visual Odometry. ICRA 2018: 3637-3643
2017
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Daniel Ricao Canelhas:
Truncated Signed Distance Fields Applied To Robotics. Örebro University, Sweden, 2017
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Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison:
Compressed Voxel-Based Mapping Using Unsupervised Learning. Robotics 6(3): 15 (2017)
2016
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Daniel Ricao Canelhas, Todor Stoyanov, Achim J. Lilienthal:
From Feature Detection in Truncated Signed Distance Fields to Sparse Stable Scene Graphs. IEEE Robotics Autom. Lett. 1(2): 1148-1155 (2016)
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Todor Stoyanov, Narunas Vaskevicius, Christian A. Mueller, Tobias Fromm, Robert Krug, Vinicio Tincani, Rasoul Mojtahedzadeh, Stefan Kunaschk, Rafael Mortensen Ernits, Daniel Ricao Canelhas, Manuel Bonilla, Sören Schwertfeger, Marco Bonini, Harry Halfar, Kaustubh Pathak, Moritz Rohde, Gualtiero Fantoni, Antonio Bicchi, Andreas Birk, Achim J. Lilienthal, Wolfgang Echelmeyer:
No More Heavy Lifting: Robotic Solutions to the Container Unloading Problem. IEEE Robotics Autom. Mag. 23(4): 94-106 (2016)
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Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison:
An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping. CoRR abs/1609.02462 (2016)
2013
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Daniel Ricao Canelhas, Todor Stoyanov, Achim J. Lilienthal:
Improved local shape feature stability through dense model tracking. IROS 2013: 3203-3209
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Daniel Ricao Canelhas, Todor Stoyanov, Achim J. Lilienthal:
SDF Tracker: A parallel algorithm for on-line pose estimation and scene reconstruction from depth images. IROS 2013: 3671-3676

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