Project-Team E-motion
Members
Overall Objectives
Application Domains
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
  • 1C. Coué, C. Pradalier, C. Laugier, T. Fraichard, P. Bessière.
    Bayesian Occupancy Filtering for Multi-Target Tracking: an Automotive Application, in: Int. Journal of Robotics Research, January 2006, vol. 25, no 1, pp. 19–30.
  • 2C. Laugier, I. Paromtchik, M. Perrollaz, Y. Mao, J.-D. Yoder, C. Tay, K. Mekhnacha, A. Nègre.
    Probabilistic Analysis of Dynamic Scenes and Collision Risk Assessment to Improve Driving Safety, in: Intelligent Transportation Systems Magazine, November 2011, vol. 3, no 4.
    http://hal.inria.fr/hal-00645046/en/
  • 3A. Martinelli.
    The Odometry Error of a Mobile Robot With a Synchronous Drive System, in: Transaction on Robotics and Automation, 2002, vol. 18, no 3, pp. 399-405.
  • 4A. Martinelli.
    State Estimation based on the Concept of Continuous Symmetry and Observability Analysis: The Case of Calibration, in: IEEE Transactions on Robotics, May 2011.
    http://hal.inria.fr/hal-00578795/en
  • 5A. Martinelli.
    Observabilty Properties and Deterministic Algorithms in Visual-Inertial Structure from Motion, in: Foundations and Trends in Robotics (FnTROB), December 2013, pp. 1–75. [ DOI : 10.1088/1742-5468/2014/03/P03003 ]
    https://hal.inria.fr/hal-01096948
  • 6M. Perrollaz, J.-D. Yoder, A. Nègre, A. Spalanzani, C. Laugier.
    A visibility-based approach for occupancy grid computation in disparity space, in: IEEE Transactions on Intelligent Transportation Systems, April 2012. [ DOI : 10.1109/TITS.2012.2188393 ]
    http://hal.inria.fr/hal-00671208
  • 7A. Spalanzani, J. Rios-Martinez, C. Laugier, S. Lee.
    Risk Based Navigation Decisions, in: Handbook of Intelligent Vehicles, A. Eskandarian (editor), Springer Verlag, February 2012, vol. 1.
    http://hal.inria.fr/hal-00743336
  • 8D. A. Vasquez Govea, T. Fraichard, C. Laugier.
    Growing Hidden Markov Models: An Incremental Tool for Learning and Predicting Human and Vehicle Motion, in: International Journal of Robotics Research, 2009, vol. 28, no 11-12, pp. 1486-1506.
    http://hal.inria.fr/inria-00430582/en/
  • 9D. A. Vasquez Govea, T. Fraichard, C. Laugier.
    Incremental Learning of Statistical Motion Patterns with Growing Hidden Markov Models, in: IEEE Transactions on Intelligent Transportation Systems, 2009.
    http://hal.inria.fr/inria-00379444/en/
Publications of the year

Articles in International Peer-Reviewed Journals

  • 10Q. Baig, M. Perrollaz, C. Laugier.
    Advances in the Bayesian Occupancy Filter framework using robust motion detection technique for dynamic environment monitoring, in: IEEE Robotics and Automation Magazine, March 2014.
    https://hal.inria.fr/hal-00932691
  • 11C. Laugier, M. Philippe, N. Urbano.
    Editorial for special issue on Perception and Navigation for Autonomous Vehicles, in: IEEE Robotics and Automation Magazine, March 2014.
    https://hal.inria.fr/hal-00932719
  • 12S. Lefèvre, D. Vasquez, C. Laugier.
    A survey on motion prediction and risk assessment for intelligent vehicles, in: ROBOMECH Journal, 2014, vol. 1, no 1, 1 p. [ DOI : 10.1186/s40648-014-0001-z ]
    https://hal.inria.fr/hal-01053736
  • 13A. Martinelli.
    Overdamped 2D Brownian motion for self-propelled and nonholonomic particles, in: Journal of Statistical Mechanics : Theory and Experiment, March 2014, vol. 2014, P03003. [ DOI : 10.1088/1742-5468/2014/03/P03003 ]
    https://hal.inria.fr/hal-01096925
  • 14M. Perrollaz, R. Labayrade, D. Gruyer, A. Lambert, D. Aubert.
    Proposition of Generic Validation Criteria using stereo-vision for On-Road Obstacle Detection, in: International Journal of Robotics and Automation, January 2014, vol. 29, no 1, pp. 65-87. [ DOI : 10.2316/Journal.206.2014.1.206-3765 ]
    https://hal.archives-ouvertes.fr/hal-01072526
  • 15J. Rios-Martinez, A. Spalanzani, C. Laugier.
    From Proxemics Theory to Socially-Aware Navigation: A Survey, in: International Journal of Social Robotics, September 2014. [ DOI : 10.1007/s12369-014-0251-1 ]
    https://hal.inria.fr/hal-01067278
  • 16P. Stein, A. Spalanzani, V. Santos, C. Laugier.
    Leader following: A study on classification and selection, in: Robotics and Autonomous Systems, September 2014. [ DOI : 10.1016/j.robot.2014.09.028 ]
    https://hal.inria.fr/hal-01073327

International Conferences with Proceedings

  • 17M.-L. Barnaud, N. Morgado, R. Palluel-Germain, J. Diard, A. Spalanzani.
    Proxemics models for human-aware navigation in robotics: Grounding interaction and personal space models in experimental data from psychology, in: Proceedings of the 3rd IROS’2014 workshop “Assistance and Service Robotics in a Human Environment”, Chicago, United States, September 2014.
    https://hal.archives-ouvertes.fr/hal-01082517
  • 18R. O. Chavez-Garcia, T. D. Vu, O. Aycard.
    Fusion at Detection Level for Frontal Object Perception, in: IEEE - Intelligent Vehicles Symposium, Dearborn, Michigan, United States, June 2014, 8 p.
    https://hal.archives-ouvertes.fr/hal-01010374
  • 19J. A. Escobedo Cabello, A. Spalanzani, C. Laugier.
    Using social cues to estimate possible destinations when driving a robotic wheelchair, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, United States, September 2014.
    https://hal.inria.fr/hal-01053894
  • 20A. Martinelli.
    Visual-inertial structure from motion: observability vs minimum number of sensors, in: ICRA 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China, IEEE, May 2014.
    https://hal.archives-ouvertes.fr/hal-00962228
  • 21A. Nègre, L. Rummelhard, C. Laugier.
    Hybrid Sampling Bayesian Occupancy Filter, in: IEEE - Intelligent Vehicles Symposium, Dearborn, United States, June 2014.
    https://hal.inria.fr/hal-01011703
  • 22P. Papadakis, P. Rives, A. Spalanzani.
    Adaptive Spacing in Human-Robot Interactions, in: IEEE/RSJ International Conference on. Intelligent Robots and Systems, Chicago, United States, September 2014.
    https://hal.inria.fr/hal-01010224
  • 23L. Rummelhard, A. Nègre, M. Perrollaz, C. Laugier.
    Probabilistic Grid-based Collision Risk Prediction for Driving Application, in: ISER, Marrakech/Essaouira, Morocco, June 2014.
    https://hal.inria.fr/hal-01011808
  • 24P. Silveira Stein, V. Santos, A. Spalanzani, C. Laugier.
    Learning-Based Leader Classification, in: IROS 2013 - Workshop on Assistance and Service Robotics, Tokyo, Japan, November 2014.
    https://hal.inria.fr/hal-00917075
  • 25P. Stein, A. Spalanzani, V. Santos, C. Laugier.
    Experiments in Leader Classification and Following with an Autonomous Wheelchair, in: ISER 2014, Marrakesh/Essaouira, Morocco, June 2014.
    https://hal.inria.fr/hal-01023896
  • 26P. Stein, A. Spalanzani, V. Santos, C. Laugier.
    On Leader Following and Classification, in: IROS 2014, Chicago, United States, September 2014.
    https://hal.inria.fr/hal-01069567
  • 27C. Troiani, A. Martinelli, C. Laugier, D. Scaramuzza.
    2-Point-based Outlier Rejection for Camera-Imu Systems with applications to Micro Aerial Vehicles, in: 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, SAR China, May 2014.
    https://hal.inria.fr/hal-01024890
  • 28T.-D. Vu, O. Aycard, F. Tango.
    Object Perception for Intelligent Vehicle Applications: A Multi-Sensor Fusion Approach, in: IEEE - Intelligent Vehicles Symposium, Dearborn, MI, United States, June 2014, pp. 100-106.
    https://hal.archives-ouvertes.fr/hal-01019527

Internal Reports

References in notes
  • 31C. Fulgenzi.
    Navigation autonome en environnement dynamique utilisant des modèles probabilistes de perception et de prédiction du risque de collision, Institut National Polytechnique de Grenoble - INPG, 06 2009.
    http://tel.archives-ouvertes.fr/tel-00398055/en/
  • 32P. Papadakis, A. Spalanzani, C. Laugier.
    Social Mapping of Human-Populated Environments by Implicit Function Learning, in: IEEE International Conference on Intelligent Robots and Systems, Tokyo, Japan, 2013.
    https://hal.inria.fr/hal-00860618
  • 33R. C. Simpson.
    How many people would benefit from a smart wheelchair?, in: The Journal of Rehabilitation Research and Development, December 2008, vol. 45, no 1, pp. 53–72. [ DOI : 10.1682/JRRD.2007.01.0015 ]
    http://www.rehab.research.va.gov/jour/08/45/1/pdf/simpson.pdf

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