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Bibliography

Major publications by the team in recent years
  • 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
  • 2A. Broggi, A. Zelinsky, U. Ozguner, C. Laugier.

    Handbook of Robotics 2nd edition, Chapter 62 on ”Intelligent Vehicles”, in: Handbook of Robotics 2nd Edition, B. Siciliano, O. Khatib (editors), Springer Verlag, July 2016.

    https://hal.inria.fr/hal-01260280
  • 3J. S. Dibangoye, C. Amato, O. Buffet, F. Charpillet.

    Optimally Solving Dec-POMDPs as Continuous-State MDPs, in: Journal of Artificial Intelligence Research, February 2016, vol. 55, pp. 443-497. [ DOI : 10.1613/jair.4623 ]

    https://hal.inria.fr/hal-01279444
  • 4Ö. Erkent, C. Wolf, C. Laugier, D. Sierra González, V. R. Cano.

    Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach, in: IROS 2018 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain, IEEE, October 2018, pp. 1-8.

    https://hal.inria.fr/hal-01881377
  • 5A. Martinelli.

    State Observability in Presence of Disturbances: the Analytic Solution and its Application in Robotics, in: IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, September 2017, pp. 1-8.

    https://hal.inria.fr/hal-01669046
  • 6L. Matignon, O. Simonin.

    Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies, in: AAMAS 2018 - 17th International Conference on Autonomous Agents and Multiagent Systems - Robotics Track, Stockholm, Sweden, M. Dastani, G. Sukthankar, E. Andre, S. Koenig (editors), ACM, July 2018, pp. 559-567.

    https://hal.archives-ouvertes.fr/hal-01726120
  • 7T. Rakotovao, J. Mottin, D. Puschini, C. Laugier.

    Multi-sensor fusion of occupancy grids based on integer arithmetic, in: In 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016.
  • 8J. Rios-Martinez, A. Spalanzani, C. Laugier.

    From Proxemics Theory to Socially-Aware Navigation: A Survey, in: International Journal of Social Robotics, April 2015. [ DOI : 10.1007/s12369-014-0251-1 ]

    https://hal.inria.fr/hal-01067278
  • 9D. Sierra González, V. Romero-Cano, J. Steeve Dibangoye, C. Laugier.

    Interaction-Aware Driver Maneuver Inference in Highways Using Realistic Driver Models, in: Proceedings of the 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan, October 2017.

    https://hal.inria.fr/hal-01589493
  • 10P. Vasishta, D. Vaufreydaz, A. Spalanzani.

    Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data, in: ICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision (BEST Student Paper), Singapore, Singapore, November 2018, pp. 1-12.

    https://hal.inria.fr/hal-01875147
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

Invited Conferences

  • 14Ö. Erkent, C. Wolf, C. Laugier.

    Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks, in: ICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision, Singapore, Singapore, November 2018, pp. 1-6.

    https://hal.inria.fr/hal-01933939
  • 15C. Laugier.

    Dynamic Scene Understanding and Upcoming Collision Prediction to improve Autonomous Driving Safety: A Bayesian Approach, in: RWIA 2018 - International Conference on Robotic Welding, Intelligence and Automation, Guangzhou, China, December 2018, pp. 1-26.

    https://hal.inria.fr/hal-01970468
  • 16C. Laugier.

    Dynamic Scene Understanding for Autonomous vehicles: Analysis, Prediction and Collision Risk Assessment (Invited talk), in: SMIV 2018 - Smart Mobility and Intelligent Vehicles Conference, Versailles, France, Vedecom, November 2018, The publication of the presented slides has not been authorized.

    https://hal.inria.fr/hal-01970436
  • 17C. Laugier.

    Dynamic Traffic Scene Understanding using Bayesian Sensor Fusion and Motion Prediction, in: Workshop “Vision-based Navigation for Autonomous Driving” - ECCV 2018, Munich, Germany, September 2018.

    https://hal.inria.fr/hal-01968786
  • 18C. Laugier.

    Improving Autonomous Driving Safety through a better Understanding of Traffic Scenes and of Potential Upcoming Collisions : A Bayesian & Machine Learning Approach (Invited Plenary Speech), in: ICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision, Singapore, Singapore, November 2018, pp. 1-15, Plenary Forum on the “Impact of AI on Robotics and Computer Vision”.

    https://hal.inria.fr/hal-01969802

International Conferences with Proceedings

  • 19F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori.

    Object Level Visual Reasoning in Videos, in: ECCV 2018 - European Conference on Computer Vision, Munich, Germany, September 2018, pp. 1-17.

    https://hal.inria.fr/hal-01828872
  • 20F. Baradel, C. Wolf, J. Mille.

    Human Activity Recognition with Pose-driven Attention to RGB, in: BMVC 2018 - 29th British Machine Vision Conference, Newcastle, United Kingdom, September 2018, pp. 1-14.

    https://hal.inria.fr/hal-01828083
  • 21F. Baradel, C. Wolf, J. Mille, G. W. Taylor.

    Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points, in: CVPR 2018 - Computer Vision and Pattern Recognition, Salt Lake City, United States, IEEE, June 2018, pp. 1-10.

    https://hal.inria.fr/hal-01713109
  • 22M. Barbier, C. Laugier, O. Simonin, J. Ibañez-Guzmán.

    Probabilistic Decision-Making at Road Intersections: Formulation and Quantitative Evaluation, in: ICARCV 2018 - 15 th International Conference on Control, Automation, Robotics and Vision, Singapour, Singapore, November 2018, pp. 1-8.

    https://hal.inria.fr/hal-01940392
  • 23G. Bono, J. S. Dibangoye, L. Matignon, F. Pereyron, O. Simonin.

    Cooperative Multi-Agent Policy Gradient, in: ECML-PKDD 2018 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, M. Berlingerio, F. Bonchi, E. Curry, T. Gärtner, G. Ifrim, A. Marascu (editors), LNCS Proceedings of ECML-PKDD, Springer, September 2018.

    https://hal.inria.fr/hal-01847775
  • 24R. Cambuzat, F. Elisei, G. Bailly, O. Simonin, A. Spalanzani.

    Immersive Teleoperation of the Eye Gaze of Social Robots Assessing Gaze-Contingent Control of Vergence, Yaw and Pitch of Robotic Eyes, in: ISR 2018 - 50th International Symposium on Robotics, Munich, Germany, VDE, June 2018, pp. 232-239.

    https://hal.archives-ouvertes.fr/hal-01779633
  • 25Q. Debard, C. Wolf, S. Canu, J. Arné.

    Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling, in: FG 2018 - 13th IEEE International Conference on Automatic Face & Gesture Recognition, Xi'an, China, IEEE, May 2018, pp. 114-121, https://arxiv.org/abs/1802.09901 - 9 pages, 4 figures, accepted at the 13th IEEE Conference on Automatic Face and Gesture Recognition (FG2018). Dataset available at http://itekube7.itekube.com. [ DOI : 10.1109/FG.2018.00026 ]

    https://hal.inria.fr/hal-01720716
  • 26J. S. Dibangoye, O. Buffet.

    Learning to Act in Decentralized Partially Observable MDPs, in: ICML 2018 - 35th International Conference on Machine Learning, Stockholm, Sweden, Proceedings of Machine Learning Research, PMLR, July 2018, vol. 80, pp. 1233-1242.

    https://hal.inria.fr/hal-01851806
  • 27J. S. Dibangoye, M. Fehr, O. Buffet, V. Thomas, J. Dibangoye.

    ρ-POMDPs have Lipschitz-Continuous ϵ-Optimal Value Functions, in: NIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Montréal, Canada, December 2018.

    https://hal.inria.fr/hal-01903685
  • 28Ö. Erkent, C. Wolf, C. Laugier, D. Sierra González, V. R. Cano.

    Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach, in: IROS 2018 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain, IEEE, October 2018, pp. 1-8.

    https://hal.inria.fr/hal-01881377
  • 29E. Ferrier-Barbut, D. Vaufreydaz, J.-A. David, J. Lussereau, A. Spalanzani.

    Personal space of autonomous car's passengers sitting in the driver's seat, in: IV'2018 - The 29th IEEE Intelligent Vehicles Symposium, Changshu, Suzhou, China, IEEE, June 2018, pp. 2022-2029, https://arxiv.org/abs/1805.03563. [ DOI : 10.1109/IVS.2018.8500648 ]

    https://hal.inria.fr/hal-01786006
  • 30M. Garzón, A. Spalanzani.

    An hybrid simulation tool for autonomous cars in very high traffic scenarios, in: ICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision, Singapore, Singapore, November 2018, pp. 1-6.

    https://hal.inria.fr/hal-01872095
  • 31F. Jumel, J. Saraydaryan, R. Leber, L. Matignon, E. Lombardi, C. Wolf, O. Simonin.

    Context Aware Robot Architecture, Application to the RoboCup@Home Challenge, in: RoboCup symposium, Montreal, Canada, June 2018, pp. 1-12.

    https://hal.archives-ouvertes.fr/hal-01832613
  • 32L. Matignon, O. Simonin.

    Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies, in: AAMAS 2018 - 17th International Conference on Autonomous Agents and Multiagent Systems - Robotics Track, Stockholm, Sweden, M. Dastani, G. Sukthankar, E. Andre, S. Koenig (editors), ACM, July 2018, pp. 559-567.

    https://hal.archives-ouvertes.fr/hal-01726120
  • 33L. Matignon, O. Simonin.

    Multi-Robot Simultaneous Coverage and Mapping of Complex Scene, in: AAMAS 2018 - 17th International Conference on Autonomous Agents and Multiagent Systems - Demonstration, Stockholm, Sweden, Proc. of the 17th International Conference on Autonomous Agents and Multiagent Systems, July 2018, pp. 559-567.

    https://hal.archives-ouvertes.fr/hal-01774799
  • 34M.-I. Popescu, O. Simonin, A. Spalanzani, F. Valois.

    DMRR: Dynamic Multi-Robot Routing for Evolving Missions, in: DMAP 2018 - 6th Workshop on Distributed and Multi-Agent Planning, Delft, Netherlands, June 2018.

    https://hal.inria.fr/hal-01942845
  • 35D. Sierra González, Ö. Erkent, V. Romero-Cano, J. Dibangoye, C. Laugier.

    Modeling Driver Behavior From Demonstrations in Dynamic Environments Using Spatiotemporal Lattices, in: ICRA 2018 - Proceedings of the 2018 IEEE International Conference on Robotics and Automation, Brisbane, Australia, May 2018, pp. 3384-3390. [ DOI : 10.1109/ICRA.2018.8460208 ]

    https://hal.inria.fr/hal-01729960

National Conferences with Proceedings

  • 37O. Buffet, J. S. Dibangoye, A. Saffidine, V. Thomas.

    Recherche heuristique pour jeux stochastiques (à somme nulle), in: JFPDA 2018 - Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, Nancy, France, July 2018, pp. 1-8.

    https://hal.inria.fr/hal-01840591
  • 38J. S. Dibangoye, O. Buffet.

    Learning to Act in Continuous Dec-POMDPs, in: JFPDA 2018 - Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, Nancy, France, July 2018, pp. 1-10.

    https://hal.inria.fr/hal-01840602

Conferences without Proceedings

  • 39G. Bono, J. S. Dibangoye, L. Matignon, F. Pereyron, O. Simonin.

    SULFR: Simulation of Urban Logistic For Reinforcement, in: PGMRL 2018Workshop on Prediction and Generative Modeling in Reinforcement Learning, Stockholm, Sweden, July 2018, pp. 1-5.

    https://hal.inria.fr/hal-01847773
  • 40G. Bono, J. S. Dibangoye, L. Matignon, F. Pereyron, O. Simonin.

    Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs, in: JFPDA 2018 - Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, Nancy, France, July 2018, pp. 1-13.

    https://hal.inria.fr/hal-01840852
  • 41J. Quilbeuf, M. Barbier, L. Rummelhard, C. Laugier, A. Legay, B. Baudouin, T. Genevois, J. Ibañez-Guzmán, O. Simonin.

    Statistical Model Checking Applied on Perception and Decision-making Systems for Autonomous Driving, in: PPNIV 2018 - 10th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Madrid, Spain, October 2018, pp. 1-8.

    https://hal.inria.fr/hal-01888556

Internal Reports

  • 42G. Bono, J. S. Dibangoye, L. Matignon, F. Pereyron, O. Simonin.

    On the Study of Cooperative Multi-Agent Policy Gradient, INSA Lyon ; Inria, June 2018, no RR-9188, pp. 1-27.

    https://hal.inria.fr/hal-01821677
  • 43J. S. Dibangoye, O. Buffet.

    Learning to Act in Decentralized Partially Observable MDPs, Inria Grenoble - Rhone-Alpes - CHROMA Team ; Inria Nancy, équipe LARSEN, June 2018, no RR-9179.

    https://hal.inria.fr/hal-01809897
  • 44J. S. Dibangoye.

    On Markov Policies For Decentralized POMDPs, Inria Grenoble - Rhone-Alpes - CHROMA Team ; CITI - CITI Centre of Innovation in Telecommunications and Integration of services ; INSA Lyon, August 2018, no RR-9202.

    https://hal.inria.fr/hal-01860060

Other Publications

  • 45C. Laugier.

    Tutorial on Autonomous Vehicles Technologies for Perception & Decision-Making, October 2018, Lecture.

    https://hal.inria.fr/cel-01969720
  • 46L. Rummelhard, J.-A. David, J. Lussereau, T. Genevois, C. Laugier.

    Application of the CMCDOT framework to autonomous car navigation, October 2018.

    https://hal.inria.fr/medihal-01963296
  • 47L. N. Rummelhard, T. Genevois, J.-A. David, A. Nègre, C. Laugier.

    Real-time Ground Estimation and Point Cloud Segmentation, March 2018, 1 p, GTC 2018 - GPU Technology Conference, Poster.

    https://hal.inria.fr/hal-01903668
References in notes
  • 48G. Aoude, B. Luders, K. Lee, D. Levine, J. How.

    Threat assessment design for driver assistance system at intersections, in: Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on, sept. 2010, pp. 1855 -1862.
  • 49L. Armesto, J. Tornero, M. Vincze.

    Fast Ego-motion Estimation with Multi-rate Fusion of Inertial and Vision, in: The Int. J. of Rob. Research, 2007, vol. 26, no 6, pp. 577–589.
  • 50R. E. Bellman.

    Dynamic Programming, Dover Publications, Incorporated, 1957.
  • 51F. A. W. Belo, P. Salaris, A. Bicchi.

    3 Known Landmarks are Enough for Solving Planar Bearing SLAM and Fully Reconstruct Unknown Inputs, in: International Conference on Intelligent Robots and Systems (IROS), IEEE, December 2010.
  • 52M. Bennewitz, W. Burgard, G. Cielniak, S. Thrun.

    Learning motion patterns of people for compliant robot motion, in: Int. J. of Robot. Res., 2005, vol. 24, pp. 31–48.
  • 53G. Bono, J. S. Dibangoye, L. Matignon, F. Pereyron, O. Simonin.

    Classification des problèmes stochastiques et dynamiques de collectes et de livraisons par des véhicules intelligents, in: Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2017), Caen, France, Actes des Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2017), July 2017.

    https://hal.archives-ouvertes.fr/hal-01576351
  • 54S.-G. Chitic, J. Ponge, O. Simonin.

    SDfR -Service discovery for multi-robot systems, in: ICAART 2016 The 8th International Conference on Agents and Artificial Intelligence, Rome, Italy, February 2016.

    https://hal.archives-ouvertes.fr/hal-01286895
  • 55C. 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.
  • 56S. Das, P. N. Suganthan.

    Differential evolution: a survey of the state-of-the-art, in: IEEE transactions on evolutionary computation, 2011, vol. 15, no 1, pp. 4–31.
  • 57J. S. Dibangoye, C. Amato, O. Buffet, F. Charpillet.

    Exploiting Separability in Multiagent Planning with Continuous-State MDPs (Extended Abstract), in: 24th International Joint Conference on Artificial Intelligence (IJCAI), 2015, pp. 4254–4260.
  • 58J. S. Dibangoye, C. Amato, O. Buffet, F. Charpillet.

    Optimally Solving Dec-POMDPs as Continuous-State MDPs, in: Journal of Artificial Intelligence Research, February 2016, vol. 55, pp. 443-497. [ DOI : 10.1613/jair.4623 ]

    https://hal.inria.fr/hal-01279444
  • 59G. Ferrer, A. Sanfeliu.

    Bayesian Human Motion Intentionality Prediction in urban environments, in: Pattern Recognition Letters, 2014, vol. 44, no 0, pp. 134 - 140, Pattern Recognition and Crowd Analysis. [ DOI : 10.1016/j.patrec.2013.08.013 ]

    http://www.sciencedirect.com/science/article/pii/S0167865513003176
  • 60C. Forster, L. Carlone, F. Dellaert, D. Scaramuzza.

    IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation, in: RSS, 2015.
  • 61C. Forster, M. Pizzoli, D. Scaramuzza.

    SVO: Fast Semi-Direct Monocular Visual Odometry, in: ICRA, 2014.
  • 62C. 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/
  • 63J. Hesch, D. Kottas, S. Bowman, S. Roumeliotis.

    Consistency analysis and improvement of vision-aided inertial navigation, in: Trans. on Rob., 2014, vol. 30, no 1, pp. 158–176.
  • 64G. Huang, M. Kaess, J. J. Leonard.

    Towards consistent visual-inertial navigation, in: Int. Conf. Rob. Aut., 2015.
  • 65G. Huang, A. Mourikis, S. Roumeliotis.

    An observability-constrained sliding window filter for SLAM, in: Intelligent Robots and Systems (IROS), IEEE, 2011, pp. 65–72.
  • 66F. Jumel, J. Saraydaryan, O. Simonin.

    Mapping likelihood of encountering humans: application to path planning in crowded environment, in: The European Conference on Mobile Robotics (ECMR), Paris, France, Proceedings of ECMR 2017, September 2017.

    https://hal.archives-ouvertes.fr/hal-01588815
  • 67S. 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
  • 68S. Leutenegger, P. Furgale, V. Rabaud, M. Chli, K. Konolige, R. Siegwart.

    Keyframe-based visual-inertial odometry using nonlinear optimization, in: Int. J. of Rob. Res., 2014.
  • 69M. Li, A. I. Mourikis.

    High-precision, Consistent EKF-based Visual-inertial Odometry, in: Int. J. Rob. Res., May 2013, vol. 32, no 6, pp. 690–711.

    http://dx.doi.org/10.1177/0278364913481251
  • 70T. Lupton, S. Sukkarieh.

    Visual-inertial-aided navigation for high-dynamic motion in built environments without initial conditions, in: Trans. on Rob., 2012, vol. 28, no 1, pp. 61–76.
  • 71A. 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
  • 72A. 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.
  • 73A. 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
  • 74A. Martinelli.

    Closed-form solution of visual-inertial structure from motion, in: International Journal of Computer Vision, January 2014, vol. 106, no 2, pp. 138–152.

    https://hal.archives-ouvertes.fr/hal-00905881
  • 75A. Martinelli.

    Nonlinear Unknown Input Observability: Extension of the Observability Rank Condition, in: IEEE Transactions on Automatic Control, in Press, 2019.
  • 76A. Martinelli, A. Renzaglia, A. Oliva.

    Cooperative Visual-Inertial Sensor Fusion: Fundamental Equations and State Determination in Closed-Form, in: Autonomous Robots, Conditionally accepted, 2019.
  • 77L. Matignon, S. D'Alu, O. Simonin.

    Multi-robot human scene observation based on hybrid metric-topological mapping, in: European Conference on Mobile Robotics, Paris, France, September 2017.

    https://hal.archives-ouvertes.fr/hal-01553064
  • 78A. Mourikis, S. Roumeliotis.

    A multi-state constraint Kalman filter for vision-aided inertial navigation, in: Int. Conf. on Rob. and Aut. (ICRA), IEEE, 2007, pp. 3565–3572.
  • 79A. 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
  • 80A. Pandey, R. Alami.

    A framework towards a socially aware Mobile Robot motion in Human-Centered dynamic environment, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, oct. 2010, pp. 5855 -5860.
  • 81M.-I. Popescu, H. Rivano, O. Simonin.

    Multi-robot Patrolling in Wireless Sensor Networks using Bounded Cycle Coverage, in: ICTAI 2016 28th International Conference on Tools with Artificial Intelligence, San Jose, United States, IEEE, November 2016.

    https://hal.archives-ouvertes.fr/hal-01357866
  • 82A. Renzaglia, L. Doitsidis, A. Martinelli, E. Kosmatopoulos.

    Multi-Robot 3D Coverage of Unknown Areas, in: International Journal of Robotics Research, May 2012, vol. 31, no 6, pp. 738-752. [ DOI : 10.1177/0278364912439332 ]

    http://hal.inria.fr/hal-00751309
  • 83L. Rummelhard, A. Nègre, 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
  • 84L. N. Rummelhard, A. Nègre, A. N. Paigwar, C. N. Laugier.

    Ground Estimation and Point Cloud Segmentation using SpatioTemporal Conditional Random Field, in: IEEE Intelligent Vehicles Symposium (IV), Redondo Beach, United States, June 2017, pp. 1105 - 1110. [ DOI : 10.1109/IVS.2017.7995861 ]

    https://hal.inria.fr/hal-01579095
  • 85L. 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
  • 86J. 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
  • 87D. Sierra González, J. S. Dibangoye, C. Laugier.

    High-Speed Highway Scene Prediction Based on Driver Models Learned From Demonstrations, in: Proceedings of the 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Rio de Janeiro, Brazil, November 2016. [ DOI : 10.1109/ITSC.2016.7795546 ]

    https://hal.inria.fr/hal-01396047
  • 88D. Sierra González, V. Romero-Cano, J. Steeve Dibangoye, C. Laugier.

    Interaction-Aware Driver Maneuver Inference in Highways Using Realistic Driver Models, in: Proceedings of the 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan, October 2017.

    https://hal.inria.fr/hal-01589493
  • 89O. 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
  • 90A. 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
  • 91S. Thrun, W. Burgard, D. Fox.

    Probabilistic Robotics, The MIT Press, September 2005, 1 p.
  • 92G. D. Tipaldi, K. O. Arras.

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