Publications

E. Vespa, N. Nikolov, M. Grimm, L. Nardi, P. H. J. Kelly and S. Leutenegger. Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping. In IEEE Robotics and Automation Letters, vol. 3, no. 2, pp. 1144-1151, April 2018.

B. Bodin, H. Wagstaff, S. Saeedi, L. Nardi, E. Vespa, J.H. Mayer, A. Nisbet, M. Luján, S. Furber, A.J. Davison, P. HJ Kelly and M. O'Boyle, SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. in Proc. of The International Conference in Robotics and Automation (ICRA 2018), Brisbane, Australia, May 2018.

A. Nica, E. Vespa, P. G. de Aledo, and P. H. J. Kelly. Investigating automatic vectorization for real-time 3D scene understanding. In Proceedings of the 2018 4th Workshop on Programming Models for SIMD/Vector Processing (WPMVP'18), Jan Eitzinger and James Brodman (Eds.). ACM, New York, NY, USA, Article 5, 8 pages.

M. Z. Zia, L. Nardi, A. Jack, E. Vespa, B. Bodin, P. H. J. Kelly and A. J. Davison. Comparative Design Space Exploration of Dense and Semi-Dense SLAM. In IEEE Intl. Conf. on Robotics and Automation (ICRA 2016), Stockholm, Sweden, May 2016. (arxiv)

G. Mencagli, M. Vanneschi, and E. Vespa. 2014. A Cooperative Predictive Control Approach to Improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications. ACM Trans. Auton. Adapt. Syst. 9, 1, Article 2 (March 2014), 27 pages.

G. Mencagli, M. Vanneschi, and E. Vespa. 2013. Reconfiguration stability of adaptive distributed parallel applications through a cooperative predictive control approach. In Proceedings of the 19th international conference on Parallel Processing (Euro-Par'13), Felix Wolf, Bernd Mohr, and Dieter Mey (Eds.). Springer-Verlag, Berlin, Heidelberg, 329-340.

G. Mencagli, M. Vanneschi, E. Vespa. "Control-theoretic adaptation strategies for autonomic reconfigurable parallel applications on cloud environments," in High Performance Computing and Simulation (HPCS), 2013 International Conference on , vol., no., pp.11-18, 1-5 July 2013