Emanuele Vespa

According to our database, Emanuele Vespa authored at least 12 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Sparse octree algorithms for scalable dense volumetric tracking and mapping.

Emanuele Vespa

PhD thesis, 2019

Adaptive-Resolution Octree-Based Volumetric SLAM.

Emanuele Vespa, Nils Funk, Paul H. J. Kelly, Stefan Leutenegger

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping.

Emanuele Vespa, Nikolay Nikolov, Marius Grimm, Luigi Nardi, Paul H. J. Kelly, Stefan Leutenegger

IEEE Robotics Autom. Lett., 2018

Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality.

Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo Marugán, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber

Proc. IEEE, 2018

Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality.

Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber

CoRR, 2018

Investigating automatic vectorization for real-time 3D scene understanding.

Alexandru Nica, Emanuele Vespa, Pablo González de Aledo, Paul H. J. Kelly

Proceedings of the 4th Workshop on Programming Models for SIMD/Vector Processing, 2018

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM.

Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John Mawer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper.

Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Comparative design space exploration of dense and semi-dense SLAM.

M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2014

A Cooperative Predictive Control Approach to Improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications.

Gabriele Mencagli, Marco Vanneschi, Emanuele Vespa

ACM Trans. Auton. Adapt. Syst., 2014

2013

Control-theoretic adaptation strategies for autonomic reconfigurable parallel applications on cloud environments.

Gabriele Mencagli, Marco Vanneschi, Emanuele Vespa

Proceedings of the International Conference on High Performance Computing & Simulation, 2013

Reconfiguration Stability of Adaptive Distributed Parallel Applications through a Cooperative Predictive Control Approach.

Gabriele Mencagli, Marco Vanneschi, Emanuele Vespa

Proceedings of the Euro-Par 2013 Parallel Processing, 2013