Team Alice
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
  • 1N. Ray, D. Sokolov, S. Lefebvre, B. Lévy.
    Meshless Voronoi on the GPU, in: ACM Trans. Graph., December 2018, vol. 37, no 6, pp. 265:1–265:12.
    http://doi.acm.org/10.1145/3272127.3275092
  • 2N. Ray, D. Sokolov, B. Lévy.
    Practical 3D Frame Field Generation, in: ACM Trans. Graph., November 2016, vol. 35, no 6, pp. 233:1–233:9.
    http://doi.acm.org/10.1145/2980179.2982408
  • 3N. Ray, D. Sokolov.
    Robust Polylines Tracing for N-Symmetry Direction Field on Triangulated Surfaces, in: ACM Trans. Graph., June 2014, vol. 33, no 3, pp. 30:1–30:11.
    http://doi.acm.org/10.1145/2602145
  • 4D. Sokolov, N. Ray, L. Untereiner, B. Lévy.
    Hexahedral-Dominant Meshing, in: ACM Transactions on Graphics, 2016, vol. 35, no 5, pp. 1 - 23. [ DOI : 10.1145/2930662 ]
    https://hal.inria.fr/hal-01397846
Publications of the year

Articles in International Peer-Reviewed Journals

  • 5S. Aranovskiy, A. Biryuk, E. Nikulchev, I. Ryadchikov, D. Sokolov.
    Observer Design for an Inverted Pendulum with Biased Position Sensors, in: Izvestia Rossiiskoi Akademii Nauk.Teoriya i Systemy Upravleniya / Journal of Computer and Systems Sciences International, March 2019, vol. 58, no 2, pp. 297-304. [ DOI : 10.1134/S1064230719020023 ]
    https://hal.inria.fr/hal-02282919
  • 6S. Aranovskiy, R. Ortega, J. G. Romero, D. Sokolov.
    A Globally Exponentially Stable Speed Observer for a Class of Mechanical Systems: Experimental and Simulation Comparison with High-Gain and Sliding Mode Designs, in: International Journal of Control, July 2019, vol. 92, no 7, pp. 1620-1633. [ DOI : 10.1080/00207179.2017.1404130 ]
    https://hal.inria.fr/hal-01658753
  • 7J. Etienne, N. Ray, D. Panozzo, S. Hornus, C. C. Wang, J. Martínez, S. Mcmains, M. Alexa, B. Wyvill, S. Lefebvre.
    CurviSlicer: Slightly curved slicing for 3-axis printers, in: ACM Transactions on Graphics, 2019, vol. 38, forthcoming. [ DOI : 10.1145/3306346.3323022 ]
    https://hal.archives-ouvertes.fr/hal-02120033

Conferences without Proceedings

  • 8I. Ryadchikov, S. Aranovskiy, E. Nikulchev, J. Wang, D. Sokolov.
    Differentiator-based velocity observer with sensor bias estimation: an inverted pendulum case study, in: 11th IFAC Symposium on Nonlinear Control Systems, Vienna, Austria, September 2019.
    https://hal-centralesupelec.archives-ouvertes.fr/hal-02383471

Scientific Books (or Scientific Book chapters)

  • 9I. Ryadchikov, S. Sechenev, N. Mikhalkov, A. Biryuk, A. Svidlov, A. Gusev, D. Sokolov, E. Nikulchev.
    Feedback Control with Equilibrium Revision for CMG-Actuated Inverted Pendulum, in: Proceedings of 14th International Conference on Electromechanics and Robotics "Zavalishin's Readings", August 2020, pp. 431-440. [ DOI : 10.1007/978-981-13-9267-2_35 ]
    https://hal.inria.fr/hal-02282908

Other Publications

  • 10D. Sokolov, S. Aranovskiy, A. A. Gusev, I. Ryadchikov.
    Experimental comparison of velocity estimators for a control moment gyroscope inverted pendulum, November 2019, working paper or preprint.
    https://hal.inria.fr/hal-02313600
References in notes
  • 11Cgal , Computational Geometry Algorithms Library, http://www.cgal.org.
  • 12Cloud Compare, http://www.danielgm.net/cc/release/.
  • 13GRAPHITE, http://alice.loria.fr/software/graphite/doc/html/.
  • 14Meshlab, http://www.meshlab.net/.
  • 15MeshMixer, http://www.meshmixer.com/.
  • 16Point Cloud Library, http://www.pointclouds.org/downloads/.
  • 17T. C. Baudouin, J. Remacle, E. Marchandise, F. Henrotte, C. Geuzaine.
    A frontal approach to hex-dominant mesh generation, in: Adv. Model. and Simul. in Eng. Sciences, 2014, vol. 1, no 1, pp. 8:1–8:30.
    https://doi.org/10.1186/2213-7467-1-8
  • 18S. E. Benzley, K. Ernest Perry, B. C. Merkley, G. Sjaardema.
    A Comparison of All-Hexahedral and All-Tetrahedral Finite Element Meshes for Elastic and Elasto-Plastic Analysis, in: International Meshing Roundtable conf. proc., 1995.
  • 19T. Blacker.
    Meeting the Challenge for Automated Conformal Hexahedral Meshing, in: 9th International Meshing Roundtable, 2000, pp. 11–20.
  • 20Z. Du, M. Zhu, Z. Wu, J. Yang.
    Measurement uncertainty on the circular features in coordinate measurement system based on the error ellipse and Monte Carlo methods, in: Measurement Science and Technology, 2016, vol. 27, no 12, 125016 p.
    http://stacks.iop.org/0957-0233/27/i=12/a=125016
  • 21D. Eppstein, M. T. Goodrich, E. Kim, R. Tamstorf.
    Motorcycle Graphs: Canonical Quad Mesh Partitioning, in: Proceedings of the Symposium on Geometry Processing, Aire-la-Ville, Switzerland, Switzerland, SGP '08, Eurographics Association, 2008, pp. 1477–1486.
    http://dl.acm.org/citation.cfm?id=1731309.1731334
  • 22X. Gao, W. Jakob, M. Tarini, D. Panozzo.
    Robust Hex-Dominant Mesh Generation using Field-Guided Polyhedral Agglomeration, in: ACM Transactions on Graphics (Proceedings of SIGGRAPH), July 2017, vol. 36, no 4. [ DOI : 10.1145/3072959.3073676 ]
  • 23P. L. George, F. Hecht, E. Saltel.
    Fully Automatic Mesh Generator for 3D Domains of Any Shape, in: IMPACT Comput. Sci. Eng., December 1990, vol. 2, no 3, pp. 187–218.
    http://dx.doi.org/10.1016/0899-8248(90)90012-Y
  • 24C. Geuzaine, J.-F. Remacle.
    Gmsh: a three-dimensional finite element mesh generator, in: International Journal for Numerical Methods in Engineering, 2009, vol. 79, no 11, pp. 1309-1331.
  • 25Y. Ito, A. M. Shih, B. K. Soni.
    Reliable Isotropic Tetrahedral Mesh Generation Based on an Advancing Front Method, in: International Meshing Roundtable conf. proc., 2004.
  • 26B. Lévy, S. Petitjean, N. Ray, J. Maillot.
    Least squares conformal maps for automatic texture atlas generation, in: ACM transactions on graphics (TOG), ACM, 2002, vol. 21, pp. 362–371.
  • 27B. Lévy, E. Schwindt.
    Notions of Optimal Transport theory and how to implement them on a computer, in: Computer and Graphics, 2018.
  • 28L. Maréchal.
    A New Approach to Octree-Based Hexahedral Meshing, in: International Meshing Roundtable conf. proc., 2001.
  • 29C. Mezian, B. Vallet, B. Soheilian, N. Paparoditis.
    Uncertainty Propagation for Terrestrial Mobile Laser Scanner, in: SPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016.
  • 30M. Nieser, U. Reitebuch, K. Polthier.
    CubeCover - Parameterization of 3D Volumes, in: Computer Graphics Forum, 2011, vol. 30, no 5, pp. 1397-1406.
    https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8659.2011.02014.x
  • 31V. Nivoliers, D.-M. Yan, B. Lévy.
    Fitting polynomial surfaces to triangular meshes with Voronoi squared distance minimization, in: Engineering with Computers, 2014, vol. 30, no 3, pp. 289–300.
  • 32J.-H. Park, Y.-D. Shin, J.-H. Bae, M.-H. Baeg.
    Spatial Uncertainty Model for Visual Features Using a Kinect Sensor, 2012.
  • 33Schöberl.
    NETGEN An advancing front 2D/3D-mesh generator based on abstract rules, in: Computing and visualization in science, 1997, vol. 1.
  • 34M. Shephard, M. Georges.
    Automatic three-dimensional mesh generation by the finite octree technique, in: International Journal for Numerical Methods in Engineering, 1991, vol. 32.
  • 35H. Si.
    TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator, in: ACM Trans. on Mathematical Software, 2015, vol. 41.
  • 36J. Slotnick, A. Khodadoust, J. Alonso, D. Darmofal, G. William, L. Elizabeth, D. Mavriplis.
    CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences, NASA/CR-2014-218178, NF1676L-18332, 2014.
  • 37S. Soudarissanane, R. Lindenbergh, M. Menenti, P. Teunissen.
    Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points, in: ISPRS Journal of Photogrammetry and Remote Sensing, 2011, vol. 66, no 4, pp. 389 - 399. [ DOI : 10.1016/j.isprsjprs.2011.01.005 ]
    http://www.sciencedirect.com/science/article/pii/S0924271611000098
  • 38M. L. Staten, S. J. Owen, T. Blacker.
    Unconstrained Paving & Plastering: A New Idea for All Hexahedral Mesh Generation, in: International Meshing Roundtable conf. proc., 2005.
  • 39T. J. Tautges, T. Blacker, S. A. Mitchell.
    The whisker weaving algorithm, in: International Journal of Numerical Methods in Engineering, 1996.
  • 40N. P. Weatherill, O. Hassan.
    Efficient three-dimensional Delaunay triangulation with automatic point creation and imposed boundary constraints, in: International Journal for Numerical Methods in Engineering, 1994, vol. 37, no 12, pp. 2005–2039.
    http://dx.doi.org/10.1002/nme.1620371203
  • 41M. Ylimäki, J. Kannala, J. Heikkilä.
    Robust and Practical Depth Map Fusion for Time-of-Flight Cameras, in: Image Analysis, Cham, P. Sharma, F. M. Bianchi (editors), Springer International Publishing, 2017, pp. 122–134.
  • 42Y. Zhang, C. Bajaj.
    Adaptive and Quality Quadrilateral/Hexahedral Meshing from Volumetric Data, in: International Meshing Roundtable conf. proc., 2004.
  • 43D. Zhengchun, W. Zhaoyong, Y. Jianguo.
    Point cloud uncertainty analysis for laser radar measurement system based on error ellipsoid model, in: Optics and Lasers in Engineering, 2016, vol. 79, pp. 78 - 84. [ DOI : 10.1016/j.optlaseng.2015.11.010 ]
    http://www.sciencedirect.com/science/article/pii/S0143816615002675

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