EN FR
EN FR


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
  • 7A. Renzaglia, J. S. Dibangoye, V. Le Doze, O. Simonin.

    Combining Stochastic Optimization and Frontiers for Aerial Multi-Robot Exploration of 3D Terrains, in: IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, China, November 2019.

    https://hal.inria.fr/hal-02164806
  • 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

  • 11M. Barbier.

    Crossing of Road Intersections: Decision-Making Under Uncertainty for Autonomous Vehicles, Comue Université Grenoble Alpes, December 2019.

    https://hal.inria.fr/tel-02424655
  • 12D. Sierra González.

    Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios, Université Grenoble Alpes, April 2019.

    https://tel.archives-ouvertes.fr/tel-02184362
  • 13P. Vasishta.

    Building and Leveraging Prior Knowledge for Predicting Pedestrian Behaviour Around Autonomous Vehicles in UrbanEnvironments, Inria Grenoble Rhône-Alpes, Université de Grenoble, September 2019.

    https://hal.archives-ouvertes.fr/tel-02401123

Articles in International Peer-Reviewed Journals

  • 14L. Briñón-Arranz, A. Renzaglia, L. Schenato.

    Multi-Robot Symmetric Formations for Gradient and Hessian Estimation with Application to Source Seeking, in: IEEE Transactions on Robotics, June 2019, vol. 35, no 3, pp. 782-789. [ DOI : 10.1109/TRO.2019.2895509 ]

    https://hal.inria.fr/hal-01991153
  • 15Ö. Erkent, C. Wolf, C. Laugier.

    End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids, in: Unmanned systems, July 2019, vol. 7, no 3, pp. 171-181. [ DOI : 10.1142/S2301385019410036 ]

    https://hal.archives-ouvertes.fr/hal-02302533
  • 16F. Jumel.

    Advancing Research at the RoboCup@Home Competition [Competitions], in: IEEE Robotics and Automation Magazine, June 2019, vol. 26, no 2, pp. 7-9. [ DOI : 10.1109/MRA.2019.2908571 ]

    https://hal.archives-ouvertes.fr/hal-02305530
  • 17A. Martinelli.

    Nonlinear Unknown Input Observability: Extension of the Observability Rank Condition, in: IEEE Transactions on Automatic Control, January 2019, vol. 64, no 1, pp. 222 - 237. [ DOI : 10.1109/TAC.2018.2798806 ]

    https://hal.archives-ouvertes.fr/hal-01966303
  • 18A. Martinelli.

    Cooperative Visual-Inertial Odometry: Analysis of Singularities, Degeneracies and Minimal Cases, in: IEEE Robotics and Automation Letters, 2020, pp. 1-11, forthcoming.

    https://hal.inria.fr/hal-02427991
  • 19A. Martinelli, A. Oliva, B. Mourrain.

    Cooperative Visual-Inertial Sensor Fusion: the Analytic Solution, in: IEEE Robotics and Automation Letters, 2019, vol. 4, no 2, pp. 453-460. [ DOI : 10.1109/LRA.2019.2891025 ]

    https://hal.archives-ouvertes.fr/hal-01966542
  • 20A. Martinelli, A. Renzaglia, A. Oliva.

    Cooperative Visual-Inertial Sensor Fusion: Fundamental Equations and State Determination in Closed-Form, in: Autonomous Robots, 2019, pp. 1-19, forthcoming. [ DOI : 10.1007/s10514-019-09841-8 ]

    https://hal.inria.fr/hal-02013869
  • 21P. R. Palafox, M. Garzón, J. Valente, J. J. Roldán, A. Barrientos.

    Robust Visual-Aided Autonomous Takeoff, Tracking, and Landing of a Small UAV on a Moving Landing Platform for Life-Long Operation, in: Applied Sciences, July 2019, vol. 9, no 13, 2661 p. [ DOI : 10.3390/app9132661 ]

    https://hal.inria.fr/hal-02293315
  • 22A. Renzaglia, L. Briñón-Arranz.

    Search and Localization of a Weak Source with a Multi-Robot Formation, in: Journal of Intelligent and Robotic Systems, 2019, pp. 1-12. [ DOI : 10.1007/s10846-019-01014-0 ]

    https://hal.inria.fr/hal-02068180
  • 23J. J. Roldán, V. Díaz-Maroto, J. Real, P. R. Palafox, M. Garzón, J. Valente, A. Barrientos.

    Press Start to Play: Classifying Multi-Robot Operators and Predicting Their Strategies through a Videogame, in: Robotics, September 2019, vol. 8, no 3, pp. 1-14. [ DOI : 10.3390/robotics8030053 ]

    https://hal.inria.fr/hal-02293309
  • 24S. Sierra M., M. Garzón, M. Munera, C. Cifuentes.

    Human–Robot–Environment Interaction Interface for Smart Walker Assisted Gait: AGoRA Walker, in: Sensors, July 2019, vol. 19, no 13, pp. 1-29. [ DOI : 10.3390/s19132897 ]

    https://hal.inria.fr/hal-02182511
  • 25J. Valente, J. J. Roldán, M. Garzón, A. Barrientos.

    Towards Airborne Thermography via Low-Cost Thermopile Infrared Sensors, in: Drones, March 2019, vol. 3, no 1, pp. 1-11. [ DOI : 10.3390/drones3010030 ]

    https://hal.inria.fr/hal-02086238

Invited Conferences

  • 26C. Laugier.

    A journey in the history of Automated Driving, in: IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, China, IEEE, November 2019, pp. 1-27, Invited Pionneer's talk at IEEE/RSJ IROS 2019.

    https://hal.inria.fr/hal-02428196
  • 27C. Laugier.

    Embedded Sensor Fusion and Perception for Autonomous Vehicle, in: IS Auto Europe 2019 - Image Sensors Automotive Conference, Berlin, Germany, April 2019, pp. 1-30.

    https://hal.inria.fr/hal-02434279
  • 28C. Laugier.

    Impact of AI on Autonomous Driving, in: WRC 2019 - WRC 2019- IEEE World Robot Conference, Beijing, China, IEEE, August 2019, pp. 1-27.

    https://hal.inria.fr/hal-02429111
  • 29C. Laugier.

    Mixing Bayesian and Artificial Intelligence approaches for Autonomous Driving, in: Tech M&A 2019 - Minalogic Technical Conference, Grenoble, France, May 2019.

    https://hal.inria.fr/hal-02434275
  • 30C. Laugier.

    Situation Awareness & Decision-making for Autonomous Driving, in: IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, China, IEEE, November 2019, pp. 1-25.

    https://hal.inria.fr/hal-02429023

International Conferences with Proceedings

  • 31M. Barbier, A. Renzaglia, J. Quilbeuf, L. Rummelhard, A. Paigwar, C. Laugier, A. Legay, J. Ibañez-Guzmán, O. Simonin.

    Validation of Perception and Decision-Making Systems for Autonomous Driving via Statistical Model Checking, in: IV 2019 - 30th IEEE Intelligent Vehicles Symposium, Paris, France, IEEE, June 2019, pp. 252-259. [ DOI : 10.1109/IVS.2019.8813793 ]

    https://hal.inria.fr/hal-02127889
  • 32R. Bresson, J. Saraydaryan, J. Dugdale, A. Spalanzani.

    Socially Compliant Navigation in Dense Crowds, in: IV 2019 - 30th IEEE Intelligent Vehicles Symposium, Paris, France, IEEE, June 2019, pp. 64-69. [ DOI : 10.1109/IVS.2019.8814288 ]

    https://hal.inria.fr/hal-02096006
  • 33S. D'Alu, O. Iova, O. Simonin, H. Rivano.

    Demo: In-flight Localisation of Micro-UAVs using Ultra-Wide Band, in: EWSN 2020 - International Conference on Embedded Wireless Systems and Networks, Lyon, France, ACM, February 2020.

    https://hal.archives-ouvertes.fr/hal-02421783
  • 34Q. Debard, J. Steeve Dibangoye, S. Canu, C. Wolf.

    Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning, in: ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Würzburg, Germany, ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019, pp. 1-16.

    https://hal.archives-ouvertes.fr/hal-02302554
  • 35N. Deshpande, A. Spalanzani.

    Deep Reinforcement Learning based Vehicle Navigation amongst pedestrians using a Grid-based state representation, in: ITSC 2019 - IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, IEEE, October 2019, pp. 2081-2086. [ DOI : 10.1109/ITSC.2019.8917299 ]

    https://hal.inria.fr/hal-02409042
  • 36R. Grünblatt, I. Guérin-Lassous, O. Simonin.

    Simulation and Performance Evaluation of the Intel Rate Adaptation Algorithm, in: MSWiM 2019 - 22nd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Miami Beach, United States, ACM, November 2019, pp. 27-34. [ DOI : 10.1145/3345768.3355921 ]

    https://hal.inria.fr/hal-02282508
  • 37V.-S. Ionescu, Z. Onet-Marian, M.-G. Badita, G. Czibula, M.-I. Popescu, J. S. Dibangoye, O. Simonin.

    DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling, in: KES 2019 - 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Budapest, Hungary, September 2019.

    https://hal.archives-ouvertes.fr/hal-02386692
  • 38P. Ledent, A. Paigwar, A. Renzaglia, R. Mateescu, C. Laugier.

    Formal Validation of Probabilistic Collision Risk Estimation for Autonomous Driving, in: CIS-RAM 2019 - 9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) Robotics, Automation and Mechatronics (RAM), Bangkok, Thailand, IEEE, November 2019, pp. 1-6.

    https://hal.inria.fr/hal-02355551
  • 39A. Paigwar, Ö. Erkent, C. Wolf, C. Laugier.

    Attentional PointNet for 3D-Object Detection in Point Clouds, in: CVPR 2019 - Workshop on Autonomous driving, Long Beach, California, United States, June 2019, pp. 1-10.

    https://hal.inria.fr/hal-02156555
  • 40M. Prédhumeau, J. Dugdale, A. Spalanzani.

    Adapting the Social Force Model for Low Density Crowds in Open Environments, in: 15th Social Simulation Conference, Mainz, Germany, September 2019.

    https://hal.archives-ouvertes.fr/hal-02194735
  • 41B. Renault, J. Saraydaryan, O. Simonin.

    Towards S-NAMO: Socially-aware Navigation Among Movable Obstacles, in: RoboCup 2019 - 23rd Annual RoboCup International Symposium, Sydney, Australia, S. Chalup, T. Niemueller, J. Suthakorn, M.-A. Williams (editors), RoboCup 2019: Robot World Cup XXIII, Springer, July 2019, pp. 241-254, https://arxiv.org/abs/1909.10809. [ DOI : 10.1007/978-3-030-35699-6_19 ]

    https://hal.archives-ouvertes.fr/hal-02293242
  • 42A. Renzaglia, J. S. Dibangoye, V. Le Doze, O. Simonin.

    Combining Stochastic Optimization and Frontiers for Aerial Multi-Robot Exploration of 3D Terrains, in: IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, China, November 2019.

    https://hal.inria.fr/hal-02164806
  • 44D. Sierra González, M. Garzón, J. S. Dibangoye, C. Laugier.

    Human-Like Decision-Making for Automated Driving in Highways, in: ITSC 2019 - 22nd IEEE International Conference on Intelligent Transportation Systems, Auckland, New Zealand, October 2019, pp. 1-8.

    https://hal.inria.fr/hal-02188235
  • 45C. Yang, A. Renzaglia, A. Paigwar, C. Laugier, D. Wang.

    Driving Behavior Assessment and Anomaly Detection for Intelligent Vehicles, in: CIS-RAM 2019 - 9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) Robotics, Automation and Mechatronics (RAM), Bangkok, Thailand, November 2019, pp. 1-6.

    https://hal.inria.fr/hal-02355809

National Conferences with Proceedings

  • 46R. Grünblatt, I. Guérin-Lassous, O. Simonin.

    Study of the Intel WiFi Rate Adaptation Algorithm, in: CoRes 2019 - Rencontres Francophones sur la Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication, Saint-Laurent-de-la-Cabrerisse, France, June 2019, pp. 1-4.

    https://hal.inria.fr/hal-02126333
  • 47A. Renzaglia, J. S. Dibangoye, V. Le Doze, O. Simonin.

    Combiner Optimisation Stochastique et Frontières pour l'Exploration 3D avec un Flotte de Drones, in: JFSMA 2019 - 27èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA), Toulouse, France, July 2019, pp. 1-9.

    https://hal.inria.fr/hal-02160346

Conferences without Proceedings

  • 48M. Garzón, A. Spalanzani.

    Game theoretic decision making for autonomous vehicles’ merge manoeuvre in high traffic scenarios, in: ITSC 2019 - IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, IEEE, October 2019, pp. 3448-3453. [ DOI : 10.1109/ITSC.2019.8917314 ]

    https://hal.archives-ouvertes.fr/hal-02388757

Scientific Books (or Scientific Book chapters)

  • 49M. Barbier, J. Ibañez-Guzmán, C. Laugier, O. Simonin.

    Validation Framework Applied to the Decision-Making Process for an Autonomous Vehicle Crossing Road Intersections, in: Validation and Verification of Automated Systems, Springer International Publishing, November 2020, pp. 179-205. [ DOI : 10.1007/978-3-030-14628-3_15 ]

    https://hal.inria.fr/hal-02424651

Internal Reports

  • 50R. Asghar, M. Garzón, J. Lussereau, C. Laugier.

    Map Relative Localization Based on Visual and Topological Map Matching, Inria Chroma, September 2019.

    https://hal.inria.fr/hal-02412837
  • 51L. Briñón-Arranz, A. Renzaglia, L. Schenato.

    Technical report on: Multi-Robot Symmetric Formations for Gradient and Hessian Estimation with Application to Source Seeking, Inria Grenoble Rhône-Alpes, Université de Grenoble, January 2019, pp. 1-8.

    https://hal.inria.fr/hal-01989573
  • 52M. A. Diaz Zapata.

    Contribution to Panoptic Segmentation, Inria ; Universidad Autónoma de Occidente, September 2019, no RT-0506.

    https://hal.inria.fr/hal-02300774

Other Publications

  • 53Q. Debard, J. Steeve Dibangoye, S. Canu, C. Wolf.

    Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning, October 2019, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-02302526
  • 54A. Paigwar, Ö. Erkent, C. Wolf, C. Laugier.

    Attentional PointNet for 3D-Object Detection in Point Clouds, June 2019, 1 p, CVPR 2019 - Workshop on Autonomous Driving, Poster.

    https://hal.inria.fr/hal-02160868
  • 55O. Simonin.

    Decision Making in (multi) Robot Systems, January 2019, pp. 1-50, Lecture.

    https://hal.inria.fr/cel-02130231
References in notes
  • 56Global status report on road safety 2018, in: World Health Organization, 2018.
  • 57G. 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.
  • 58E. Beeching, C. Wolf, J. Dibangoye, O. Simonin.

    Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer, in: Arxiv pre-print 1904.01806, 2019.
  • 59R. E. Bellman.

    Dynamic Programming, Dover Publications, Incorporated, 1957.
  • 60F. 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.
  • 61M. 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.
  • 62G. 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, July 2017.

    https://hal.archives-ouvertes.fr/hal-01576351
  • 63S.-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
  • 64J. Civera, D. Galvez-Lopez, L. Riazuelo, J. D. Tardós, J. M. M. Montiel.

    Towards semantic SLAM using a monocular camera, in: IROS, 2011.
  • 65C. 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.
  • 66S. 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.
  • 67J. 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.
  • 68J. 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
  • 69G. 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
  • 70C. Forster, M. Pizzoli, D. Scaramuzza.

    SVO: Fast Semi-Direct Monocular Visual Odometry, in: ICRA, 2014.
  • 71C. 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/
  • 72A. Geiger, P. Lenz, R. Urtasun.

    Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite, in: Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
  • 73K. He, G. Gkioxari, P. Dollár, R. Girshick.

    Mask r-cnn, in: Proceedings of the IEEE international conference on computer vision, 2017, pp. 2961–2969.
  • 74J. 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.
  • 75A. Kirillov, K. He, R. Girshick, C. Rother, P. Dollár.

    Panoptic segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 9404–9413.
  • 76S. 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
  • 77S. 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.
  • 78A. 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
  • 79A. 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.
  • 80A. 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
  • 81A. 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.
  • 82L. 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, ACM, July 2018, pp. 559-567.
  • 83D. Neven, B. D. Brabandere, S. Georgoulis, M. Proesmans, L. V. Gool.

    Towards End-to-End Lane Detection: an Instance Segmentation Approach, in: CoRR, 2018, vol. abs/1802.05591.

    http://arxiv.org/abs/1802.05591
  • 84A. 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
  • 85A. 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.
  • 86M.-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
  • 87C. R. Qi, H. Su, K. Mo, L. J. Guibas.

    Pointnet: Deep learning on point sets for 3d classification and segmentation, in: Proc. Computer Vision and Pattern Recognition (CVPR), IEEE, 2017, vol. 1, no 2, 4 p.
  • 88A. Renzaglia, J. Dibangoye, V. Le Doze, O. Simonin.

    Multi-UAV Visual Coverage of Partially Known 3D Surfaces: Voronoi-based Initialization to Improve Local Optimizers, in: arXiv preprint arXiv:1901.10272, 2019.
  • 89L. 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
  • 90M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, L. C. Chen.

    MobileNetV2: Inverted Residuals and Linear Bottlenecks, in: CVPR, 2018, pp. 4510–4520.
  • 91D. 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
  • 92O. 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
  • 93A. 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
  • 94K. Tateno, F. Tombari, I. Laina, N. Navab.

    CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction, in: CVPR, 2017.
  • 95M. Teichmann, M. Weber, J. M. Zöllner, R. Cipolla, R. Urtasun.

    MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving, in: CoRR, 2016, vol. abs/1612.07695.

    http://arxiv.org/abs/1612.07695
  • 96S. Thrun, W. Burgard, D. Fox.

    Probabilistic Robotics, The MIT Press, September 2005, 1 p.
  • 97M. Tlig, O. Buffet, O. Simonin.

    Stop-Free Strategies for Traffic Networks: Decentralized On-line Optimization, in: ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic - Including Prestigious Applications of Intelligent Systems (PAIS 2014), 2014, pp. 1191–1196.

    http://dx.doi.org/10.3233/978-1-61499-419-0-1191
  • 98P. Vasishta, D. Vaufreydaz, A. Spalanzani.

    Natural Vision Based Method for Predicting Pedestrian Behaviour in Urban Environments, in: IEEE 20th International Conference on Intelligent Transportation Systems, Yokohama, Japan, October 2017.

    https://hal.inria.fr/hal-01561029
  • 99P. 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, Singapore, Singapore, November 2018, pp. 1-12.
  • 100D. 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.
  • 101T. Vidal, T. G. Crainic, M. Gendreau, C. Prins.

    A Hybrid Genetic Algorithm with Adaptive Diversity Management for a Large Class of Vehicle Routing Problems with Time-windows, in: Comput. Oper. Res., January 2013, vol. 40, no 1, pp. 475–489.
  • 102J. Von Neumann, O. Morgenstern.

    Theory of games and economic behavior, Princeton University Press, 2007.
  • 103J. Von Neumann, O. Morgenstern.

    Theory of Games and Economic Behavior, Princeton University Press, 1944.