Project-Team Chroma
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
  • 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.
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