Team Chroma
Members
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

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1M. Andries, O. Simonin, F. Charpillet.
    Localisation of humans, objects and robots interacting on load-sensing floors, in: IEEE Sensors Journal, 2015, vol. PP, no 99, 12 p. [ DOI : 10.1109/JSEN.2015.2493122 ]
    https://hal.inria.fr/hal-01196042
  • 2J. S. Dibangoye, D. Arnaud, H. Fakham, F. Colas, X. Guillaud.
    Distributed economic dispatch of embedded generation in smart grids, in: Engineering Applications of Artificial Intelligence, May 2015, 24 p.
    https://hal.inria.fr/hal-01188482
  • 3N. Kaldé, O. Simonin, F. Charpillet.
    Comparison of Classical and Interactive Multi-Robot Exploration Strategies in Populated Environments, in: Acta-Polytechnica,-Czech-Technical-University-in-Prague, June 2015, vol. 55, no 3, pp. 154-161.
    https://hal.archives-ouvertes.fr/hal-01191456
  • 4C. Troiani, A. Martinelli, C. Laugier, D. Scaramuzza.
    Low computational-complexity algorithms for vision-aided inertial navigation of micro aerial vehicles, in: Robotics and Autonomous Systems, July 2015.
    https://hal.inria.fr/hal-01248800

Articles in Non Peer-Reviewed Journals

Invited Conferences

International Conferences with Proceedings

  • 7M. Andries, F. Charpillet, O. Simonin.
    High resolution pressure sensing using sub-pixel shifts on low resolution load-sensing tiles, in: 2015 IEEE International Conference on Robotics and Automation (ICRA 2015), Seattle, United States, May 2015.
    https://hal.inria.fr/hal-01136255
  • 8J. Cohen, L. Matignon, O. Simonin.
    Concentric and Incremental Multi-Robot Mapping to Observe Complex Scenes, in: IROS 2015 Workshop on On-line decision-making in multi-robot coordination (DEMUR’15), Hamburg, Germany, October 2015.
    https://hal.archives-ouvertes.fr/hal-01254964
  • 9S. Lefèvre, D. Vasquez, C. Laugier, J. Ibañez-Guzman.
    Intention-aware risk estimation: Field results, in: IEEE International Workshop on Advanced Robotics and its Social Impacts, Lyon, France, July 2015.
    https://hal.inria.fr/hal-01211563
  • 10L. Rummelhard, A. Negre, C. Laugier.
    Conditional Monte Carlo Dense Occupancy Tracker, in: 18th IEEE International Conference on Intelligent Transportation Systems, Las Palmas, Spain, September 2015.
    https://hal.inria.fr/hal-01205298
  • 11J. Saraydaryan, F. Jumel, O. Simonin.
    Robots Delivering Services to Moving People : Individual vs. Group Patrolling Strategies, in: The 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO 2015), Lyon, France, IEEE, July 2015.
    https://hal.archives-ouvertes.fr/hal-01191457
  • 12D. Vasquez.
    Novel Planning-based Algorithms for Human Motion Prediction, in: IEEE Conference on Robotics and Automation, Stockholm, Sweden, May 2016, forthcoming.
    https://hal.inria.fr/hal-01256516

Conferences without Proceedings

  • 13J. S. Dibangoye, C. Amato, O. Buffet, F. Charpillet.
    Exploiting separability in multiagent planning with continuous-state mdps (extended abstract), in: Proceedings of the twenty-fourth international joint conference on artificial intelligence, IJCAI 2015, Buenos Aires, Argentina, July 2015.
    https://hal.inria.fr/hal-01188483
  • 14J. S. Dibangoye, O. Buffet, O. Simonin.
    Structural results for cooperative decentralized control models, in: Proceedings of the twenty-fourth international joint conference on artificial intelligence, IJCAI 2015, Buenos Aires, Argentina, July 2015.
    https://hal.inria.fr/hal-01188481
  • 15J. Lussereau, P. Stein, J.-A. David, L. Rummelhard, A. Negre, C. Laugier, N. Vignard, G. Othmezouri.
    Integration of ADAS algorithm in a Vehicle Prototype, in: IEEE International Workshop on Advanced Robotics and its Social Impacts ARSO 2015, LYON, France, July 2015.
    https://hal.inria.fr/hal-01212431
  • 16A. Martinelli.
    Extension of the observability rank condition to nonlinear systems driven by unknown inputs, in: MED 2015, Torremolinos, Spain, June 2015. [ DOI : 10.1109/MED.2015.7158811 ]
    https://hal.inria.fr/hal-01248783
  • 17A. Martinelli.
    Minimalistic sensor design in visual-inertial structure from motion, in: icra 2015, Seattle, United States, May 2015. [ DOI : 10.1109/ICRA.2015.7139656 ]
    https://hal.inria.fr/hal-01248785
  • 18A. Martinelli.
    Nonlinear Unknown Input Observability: Analytical expression of the observable codistribution in the case of a single unknown input, in: SIAM - CT15, Paris, France, July 2015. [ DOI : 10.1137/1.9781611974072.2 ]
    https://hal.inria.fr/hal-01248792
  • 19T. Rakotovao, J. Mottin, D. Puschini, C. Laugier.
    Real-Time Power-Efficient Integration of Multi-Sensor Occupancy Grid on Many-Core, in: IEEE International Workshop on Advanced Robotics and its Social Impacts. ARSO 2015, Lyon, France, July 2015.
    https://hal-cea.archives-ouvertes.fr/cea-01176446

Scientific Books (or Scientific Book chapters)

  • 20A. Broggi, A. Zelinsky, U. Ozguner, C. Laugier.
    Intelligent Vehicles, in: Handbook of Robotics 2nd Edition, B. Siciliano, O. Khatib (editors), April 2016.
    https://hal.inria.fr/hal-01260280

Other Publications

  • 21C. Laugier.
    Bayesian Perception and Decision for Intelligent Mobility, May 2015, Invited talk at Inria Industry Meeting (RII) on "Smart Cities & Mobility Innovations: Towards Environmental and Social Sustainability", San Francisco, May 2015..
    https://hal.inria.fr/hal-01264198
  • 22C. Laugier.
    Bayesian Perception and Decision Making for next Cars Generation, May 2015, Invited talk at Google Self-Driving Cars, Mountain View, May 12th 2015.
    https://hal.inria.fr/hal-01264215
  • 23C. Laugier.
    Embedded Bayesian Perception and Risk Assessment for ADAS and Autonomous Cars, September 2015, Keynote talk at PPNIV-7 Workshop, IEEE/RSJ IROS 2015, September 28th 2015, Hamburg.
    https://hal.inria.fr/hal-01264200
  • 24C. Laugier.
    Risk Assessment and Decision-Making for Safe Vehicle Navigation under Uncertainty, June 2015, Invited talk at IET (The Institution of Engineering and Technology) Workshop "Autonomous vehicles: From Theory to Full Scale Applications". Video can be found at https://tv.theiet.org/?videoid=6974.
    https://hal.inria.fr/hal-01260282
  • 25C. Laugier, A. Martinelli, D. A. Vasquez.
    Mooc Mobile Robots and Autonomous Vehicles, May 2015, Lecture - International Mooc Course from Inria-uTOP. First edition in May 2015, second edition in February 2016.
    https://hal.inria.fr/cel-01256021
References in notes
  • 26P. Abbeel, A. Ng.
    Apprenticeship learning via inverse reinforcement learning, in: Proceedings of the 21st international conference on machine learning, 2004. [ DOI : 10.1145/1015330.1015430 ]
    http://www.eecs.harvard.edu/~parkes/cs286r/spring06/papers/abeelng.pdf
  • 27M. Andries.
    Object and human tracking, and robot control through a load sensing floor, PhD., Université de Lorraine, December 2015.
    https://hal.inria.fr/tel-01252938
  • 28C. 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.
  • 29A. Elfes.
    Occupancy grids: A probabilistic framework for robot perception and navigation, 1989.
  • 30J. Faigl, O. Simonin, F. Charpillet.
    Comparison of Task-Allocation Algorithms in Frontier-Based Multi-Robot Exploration, in: 12th European Conference on Multi-Agent Systems, Prague, Czech Republic, Springer, December 2014.
    https://hal.archives-ouvertes.fr/hal-01081853
  • 31C. Fulgenzi, A. Spalanzani, C. Laugier.
    Dynamic Obstacle Avoidance in uncertain environment combining PVOs and Occupancy Grid, in: Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2007, pp. 1610–1616.
  • 32C. Fulgenzi, C. Tay, A. Spalanzani, C. Laugier.
    Probabilistic navigation in dynamic environment using Rapidly-exploring Random Trees and Gaussian Processes, in: IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems, France Nice, 2008.
    http://hal.inria.fr/inria-00332595/en/
  • 33Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, T. Darrell.
    Caffe: Convolutional Architecture for Fast Feature Embedding, in: arXiv preprint arXiv:1408.5093, 2014.
  • 34K. M. Kitani, B. D. Ziebart, J. A. Bagnell, M. Hebert.
    Activity Forecasting, in: European Conference on Computer Vision, 2012, vol. 7575, pp. 201–214.
  • 35A. Krizhevsky, I. Sutskever, G. E. Hinton.
    ImageNet Classification with Deep Convolutional Neural Networks, in: Advances in Neural Information Processing Systems 25, F. Pereira, C. Burges, L. Bottou, K. Weinberger (editors), Curran Associates, Inc., 2012, pp. 1097–1105.
    http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
  • 36C. 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/
  • 37Y. LeCun, L. Bottou, Y. Bengio, P. Haffner.
    Gradient-based learning applied to document recognition, in: Proceedings of the IEEE, 1998, vol. 86, no 11, pp. 2278–2324.
  • 38S. Lefèvre, R. Bajcsy, C. Laugier.
    Probabilistic Decision Making for Collision Avoidance Systems: Postponing Decisions, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, 2013.
    https://hal.inria.fr/hal-00880440
  • 39S. Lefèvre, D. Vasquez, C. Laugier.
    A survey on motion prediction and risk assessment for intelligent vehicles, in: Robomech, July 2014, vol. 1, no 1.
  • 40A. 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
  • 41A. Martinelli.
    Vision and IMU Data Fusion: Closed-Form Solutions for Attitude, Speed, Absolute Scale and Bias Determination, in: Transaction on Robotics, 2012, vol. 28, no 1.
  • 42A. Martinelli.
    Closed-form solution of visual-inertial structure from motion, in: International Journal of Computer Vision, August 2013, online.
    https://hal.archives-ouvertes.fr/hal-00905881
  • 43A. 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
  • 44A. Martinelli.
    Closed-Form Solution of Visual Inertial Structure from Motion, in: International Journal of Computer Vision, 2014, vol. 106, no 2, pp. 138-152.
  • 45D. Meignan, O. Simonin, A. Koukam.
    Simulation and Evaluation of Urban Bus Networks using a Multiagent Approach, in: Simulation Modelling Practice and Theory, 2007, vol. 15, no 6, pp. 659-671. [ DOI : 10.1016/j.simpat.2007.02.005 ]
    https://hal.inria.fr/inria-00172340
  • 46A. Nègre, L. Rummelhard, C. Laugier.
    Hybrid Sampling Bayesian Occupancy Filter, in: IEEE Intelligent Vehicles Symposium (IV), Dearborn, United States, June 2014.
    https://hal.inria.fr/hal-01011703
  • 47L. Rummelhard, A. Negre, C. Laugier.
    Conditional Monte Carlo Dense Occupancy Tracker, in: 18th IEEE International Conference on Intelligent Transportation Systems, Las Palmas, Spain, September 2015.
    https://hal.inria.fr/hal-01205298
  • 48L. 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
  • 49J. A. Sethian.
    Fast marching methods, in: SIAM review, 1999, vol. 41, no 2, pp. 199–235.
  • 50O. Simonin, F. Charpillet, E. Thierry.
    Revisiting wavefront construction with collective agents: an approach to foraging, in: Swarm Intelligence, June 2014, vol. 8, no 2, pp. 113-138. [ DOI : 10.1007/s11721-014-0093-3 ]
    https://hal.inria.fr/hal-00974068
  • 51A. 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
  • 52C. Tay, C. Laugier.
    Modelling Smooth Paths Using Gaussian Processes, in: International Conference on Field and Service Robotics, 2007.
    https://hal.inria.fr/inria-00181664/en/
  • 53S. Thrun, W. Burgard, D. Fox.
    Probabilistic Robotics, The MIT Press, 2005.
  • 54M. Tlig, O. Buffet, O. Simonin.
    Stop-Free Strategies for Traffic Networks: Decentralized On-line Optimization, in: 21th European Conference on Artificial Intelligence ECAI 2014, Prague, Czech Republic, IOS Press, August 2014, pp. 1191 - 1196.
    https://hal.archives-ouvertes.fr/hal-01232023
  • 55D. Vasquez, B. Okal, K. O. Arras.
    Inverse Reinforcement Learning Algorithms and Features for Robot Navigation in Crowds: an experimental comparison, in: IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2014.
  • 56D. Vasquez, Y. Yu, S. Kumar, C. Laugier.
    An open framework for human-like autonomous driving using Inverse Reinforcement Learning, in: IEEE Vehicle Power and Propulsion Conference, 2014.
  • 57D. 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/
  • 58B. D. Ziebart, A. L. Maas, J. A. Bagnell, A. K. Dey.
    Maximum Entropy Inverse Reinforcement Learning, in: Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008, pp. 1433–1438.
    http://www.aaai.org/Library/AAAI/2008/aaai08-227.php

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