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Major publications by the team in recent years
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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, p. 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, p. 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, 000000 p.
http://hal. inria. fr/ hal-00578795/ en -
5G. Vasquez, A. Dizan, 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, p. 1486-1506.
http://hal. inria. fr/ inria-00430582/ en/ -
6G. Vasquez, A. Dizan, 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/
Articles in International Peer-Reviewed Journal
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7R. Horaud, F. Forbes, M. Yguel, G. Dewaele, J. Zhang.
Rigid and Articulated Point Registration with Expectation Conditional Maximization, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, March 2011, vol. 33, no 3, p. 587–602. [ DOI : 10.1109/TPAMI.2010.94 ]
http://hal. inria. fr/ inria-00590265/ en -
8C. 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/ -
9A. Martinelli.
State Estimation based on the Concept of Continuous Symmetry and Observability Analysis: The Case of Calibration, in: IEEE Transactions on Robotics, May 2011, 000000 p.
http://hal. inria. fr/ hal-00578795/ en
International Conferences with Proceedings
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10L. Doitsidis, A. Renzaglia, S. Weiss, E. Kosmatopoulos, D. Scaramuzza, R. Siegwart.
3D Surveillance Coverage Using Maps Extracted by a Monocular SLAM Algorithm, in: IEEE International Conference on Robotics and Intelligent System (IROS), San Francisco, États-Unis, September 2011.
http://hal. inria. fr/ inria-00625534/ en/ -
11K. Laurent, A. Martinelli, S. Weiss, D. Scaramuzza, R. Siegwart.
Closed-Form Solution for Absolute Scale Velocity Determination Combining Inertial Measurements and a Single Feature Correspondence, in: International Conference on Robotics and Automation, Shanghai, China, May 2011.
http://hal. inria. fr/ hal-00641772/ en -
12S. Lefèvre, J. Ibanez-Guzman, C. Laugier.
Context-based Estimation of Driver Intent at Road Intersections, in: 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Paris, France, 2011.
http://hal. inria. fr/ inria-00582343/ en -
13S. Lefèvre, C. Laugier, I.-G. Javier.
Exploiting Map Information for Driver Intention Estimation at Road Intersections, in: 2011 IEEE Intelligent Vehicle Symposium, Baden-Baden, Germany, 2011.
http://hal. inria. fr/ inria-00588743/ en -
14A. Martinelli.
Closed-Form Solution for Attitude and Speed Determination by Fusing Monocular Vision and Inertial Sensor Measurements, in: International Conference on Robotics and Automation, ICRA2011, China, January 2011, 999 p.
http://hal. inria. fr/ hal-00568638/ en -
15A. Martinelli, C. Troiani, A. Renzaglia.
Vision-Aided Inertial Navigation: Closed-Form Determination of Absolute Scale, Speed and Attitude, in: International Conference on Intelligent Robots and Systems, San Francisco, United States, 2011.
http://hal. inria. fr/ hal-00641050/ en -
16I. Paromtchik, M. Perrollaz, C. Laugier.
Fusion of Telemetric and Visual Data from Road Scenes with a Lexus Experimental Platform, in: IEEE International Symposium on Intelligent Vehicles, Baden-baden, Germany, June 2011.
http://hal. inria. fr/ inria-00635779/ en -
17A. Renzaglia, L. Doitsidis, A. Martinelli, E. Kosmatopoulos.
Adaptive-based Distributed Cooperative Multi-Robot Coverage, in: American Control Conference 2011, San Francisco, United States, July 2011.
http://hal. inria. fr/ inria-00607085/ en -
18J. Rios-Martinez, C. Laugier, A. Spalanzani.
Understanding human interaction for probabilistic autonomous navigation using Risk-RRT approach, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, United States, September 2011.
http://hal. inria. fr/ inria-00633896/ en -
19G. Synnaeve, P. Bessière.
A Bayesian Model for Opening Prediction in RTS Games with Application to StarCraft, in: Proceedings of 2011 IEEE CIG, Seoul, Corée, République De, September 2011.
http://hal. archives-ouvertes. fr/ hal-00607277/ en/ -
20G. Synnaeve, P. Bessière.
A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft, in: Proceedings of the Seventh Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2011), Palo Alto, États-Unis, AAAI (editor), Proceedings of AIIDE, October 2011, p. 79–84, 7 pages.
http://hal. archives-ouvertes. fr/ hal-00641323/ en/ -
21G. Synnaeve, P. Bessière.
A Bayesian Model for RTS Units Control applied to StarCraft, in: Proceedings of IEEE CIG 2011, Seoul, Corée, République De, September 2011.
http://hal. archives-ouvertes. fr/ hal-00607281/ en/ -
22G. Synnaeve, K. Inoue, A. Doncescu, H. Nabeshima, Y. Kameya, M. Ishihata, T. Sato.
Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology, in: BIOSTEC Bioinformatics 2011, Rome, Italie, January 2011.
http://hal. archives-ouvertes. fr/ hal-00607296/ en/
Conferences without Proceedings
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23S. Arias, J. Lahera-Perez, A. Nègre, N. Turro.
Evolution of the robotic control frameworks at INRIA Rhône-Alpes, in: 6th National Conference on Control Architectures of Robots, Grenoble, France, INRIA Grenoble Rhône-Alpes, May 2011, 8 p.
http://hal. inria. fr/ inria-00599596/ en -
24S. Dhouib, N. Du Lac, J.-L. Farges, S. Gerard, M. Hemaissia-Jeannin, J. Lahera-Perez, S. Millet, B. Patin, S. Stinckwich.
Control Architecture Concepts and Properties of an Ontology Devoted to Exchanges in Mobile Robotics, in: 6th National Conference on Control Architectures of Robots, Grenoble, France, INRIA Grenoble Rhône-Alpes, May 2011, 24 p.
http://hal. inria. fr/ inria-00599694/ en
Scientific Books (or Scientific Book chapters)
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25G. Vasquez, A. Dizan, T. Fraichard, C. Laugier.
Incremental Learning of Statistical Motion Patterns with Growing Hidden Markov Models, in: Robotics Research, M. Kaneko, Y. Nakamura (editors), Springer Tracts in Advanced Robotics Series, Springer, 2011, vol. 66. [ DOI : 10.1007/978-3-642-14743-2 ]
http://hal. inria. fr/ inria-00584320/ en
Internal Reports
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26R. Baravalle, A. Nègre.
3D Mapping of indoor environments with a time of flight camera, INRIA, May 2011, no RT-0406.
http://hal. inria. fr/ inria-00594908/ en -
27S. Lefèvre, C. Laugier, I.-G. Javier, P. Bessière.
Modelling Dynamic Scenes at Unsignalised Road Intersections, INRIA, April 2011, no RR-7604.
http://hal. inria. fr/ inria-00588758/ en -
28A. Makris, M. Perrollaz, I. Paromtchik, C. Laugier.
Integration of visual and depth information for vehicle detection, INRIA, August 2011, no RR-7703.
http://hal. inria. fr/ inria-00613316/ en -
29A. Martinelli.
Closed-Form Solutions for Attitude, Speed, Absolute Scale and Bias Determination by Fusing Vision and Inertial Measurements, INRIA, January 2011, no RR-7530.
http://hal. inria. fr/ inria-00569083/ en -
30M. Perrollaz, J.-D. Yoder, A. Nègre, A. Spalanzani, C. Laugier.
A visibility-based approach for occupancy grid computation in disparity space, INRIA, December 2011, no RR-7841.
http://hal. inria. fr/ hal-00652591/ en/
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31D. E. Angelaki, A. G. Shaikh, A. M. Green, J. D. Dickman.
Neurons compute internal models of the physical laws of motion, in: Nature, 2004, vol. 430, p. 560–564. -
32M. Awais, K. Mikolajczyk.
Feature Pairs Connected by Lines for Object Recognition, in: Proc. of the Int. Conf. on Pattern Recognition (ICPR), 2010, p. 3093-3096. [ DOI : 10.1109/ICPR.2010.757 ] -
33P. Bessière.
Probability as an Alternative to Logic for Rational SensoryMotor Reasoning and Decision, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 3–18.
http://hal. archives-ouvertes. fr/ hal-00338708/ en/ -
34P. Bessière, C. Laugier, R. Siegwart.
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008.
http://hal. archives-ouvertes. fr/ hal-00338704/ en/ -
35M. Bryson, S. Sukkarieh.
Observability Analysis and Active Control for Airbone SLAM, in: IEEE Transaction on Aerospace and Electronic Systems, 2008, vol. 44, no 1, p. 261–280. -
36C. Cavalcante Koike, P. Bessière, E. Mazer.
Bayesian Approach to Action Selection and Attention Focusing, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 177–201.
http://hal. archives-ouvertes. fr/ hal-00338727/ en/ -
37F. Colas, P. Bessière, J. Droulez, M. Wexler.
Bayesian Modelling of Perception of Structure from Motion, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 301–328.
http://hal. archives-ouvertes. fr/ hal-00338732/ en/ -
38V. Cornilleau-Peres, J. Droulez.
The visual perception of three-dimensional shape from self-motion and object-motion, in: Vision research, 1994, vol. 34, p. 2331–2336. -
39J. Cortés, S. Martínez, T. Karatas, F. Bullo.
Coverage Control for Mobile Sensing Networks, in: IEEE Transactions on Robotics and Automation, 2004, vol. 20, no 2, p. 243–255. -
40C. Coué, C. Pradalier, C. Laugier, T. Fraichard, P. Bessière.
Bayesian Occupancy Filtering for Multitarget Tracking: an Automotive Application, in: Int. Journal of Robotics Research, 01 2006, vol. 25, p. 19–30.
http://hal. inria. fr/ inria-00182004/ en/ -
41E. Dereszynski, J. Hostetler, A. Fern, T. D. T.-T. Hoang, M. Udarbe.
Learning Probabilistic Behavior Models in Real-Time Strategy Games, in: Artificial Intelligence and Interactive Digital Entertainment (AIIDE), AAAI (editor), 2011. -
42J. Diard, P. Bessière.
Bayesian Maps: Probabilistic and Hierarchical Models for Mobile Robot Navigation, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 153–175.
http://hal. archives-ouvertes. fr/ hal-00338724/ en/ -
43K. Dokka, P. R. MacNeilage, G. C. De Angelis, D. E. Angelaki.
Estimating distance during self-motion: a role for visual-vestibular interactions, in: J. of Vision, 2011, vol. 11, p. 1–16. -
44P. Dollár, C. Wojek, B. Schiele, P. Perona.
Pedestrian detection: A benchmark, in: CVPR, 2009, p. 304-311. -
45P. F. Felzenszwalb, R. B. Girshick, D. A. McAllester, D. Ramanan.
Object Detection with Discriminatively Trained Part-Based Models, in: IEEE Trans. Pattern Anal. Mach. Intell., 2010, vol. 32, no 9, p. 1627-1645. -
46D. Fox, W. Burgard, S. Thrun.
The dynamic window approach to collision avoidance, in: IEEE Robotics & Automation Magazine, March 1997, vol. 4, no 1, p. 23–33. [ DOI : 10.1109/100.580977 ]
http://ieeexplore. ieee. org/ lpdocs/ epic03/ wrapper. htm?arnumber=580977 -
47C. 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/ -
48C. Fulgenzi, A. Spalanzani, C. Laugier.
Probabilistic motion planning among moving obstacles following typical motion patterns., in: IEEE/RSJ International Conference on Intelligent RObots and Systems, États-Unis St. Louis, Missouri, 2009.
http://hal. inria. fr/ inria-00398059/ en -
49C. 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/ -
50C. Fulgenzi, A. Spalanzani, C. Laugier, C. Tay.
Risk based motion planning and navigation in uncertain dynamic environment, INRIA, 10 2010.
http://hal. inria. fr/ inria-00526601/ PDF/ PPRRT. pdf -
51D. Gerónimo, A. M. López, A. D. Sappa, T. Graf.
Survey of Pedestrian Detection for Advanced Driver Assistance Systems, in: IEEE Trans. Pattern Anal. Mach. Intell., 2010, vol. 32, no 7, p. 1239-1258. -
52G. Grisetti, C. Stachniss, W. Burgard.
Improved techniques for grid mapping with rao-blackwellized particle filters, in: IEEE Transactions on Robotics, 2007, vol. 23, no 1, p. 34–46.
http://ieeexplore. ieee. org/ xpls/ abs_all. jsp?arnumber=4084563 -
53E. T. Hall.
The hidden Dimension: Man's Use of Space in Public and Private, The Bodley Head Ltd, London, UK, 1966. -
54E. Jones, S. Soatto.
Visual-inertial navigation, mapping and localization: A scalable real-time causal approach, in: The International Journal of Robotics Research, 2011, vol. 30, no 4, p. 407–430. -
55F. Kabanza, P. Bellefeuille, F. Bisson, A. R. Benaskeur, H. Irandoust.
Opponent Behaviour Recognition for Real-Time Strategy Games, 2010.
http://aaai. org/ ocs/ index. php/ WS/ AAAIW10/ paper/ view/ 2024 -
56J. Kelly, G. Sukhatme.
Visual-inertial simultaneous localization, mapping and sensor-to-sensor self-calibration, in: Int. Journal of Robotics Research, 2011, vol. 30, no 1, p. 56–79. -
57A. Kendon.
Spacing and Orientation in Co-present Interaction, in: Development of Multimodal Interfaces: Active Listening and Synchrony, A. Esposito, N. Campbell, C. Vogel, A. Hussain, A. Nijholt (editors), Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 2010, vol. 5967, p. 1-15. -
58E. B. Kosmatopoulos, L. Doitsidis, K. Aboudolas.
A Unified Methodology for Multi-Robot Passive and Active Sensing, in: 17th IEEE Mediterranean Conference on Control and Automation, Thessaloniki, 2009. -
59E. B. Kosmatopoulos.
An adaptive optimization scheme with satisfactory transient performance, in: Automatica, 2009, vol. 45, no 3, p. 716–723. -
60S. M. Lavalle.
Planning Algorithms, Cambridge University Press, 2006. -
61R. Le Hy.
Programmation et apprentissage bayésien de comportements pour personnages synthétiques – application aux personnages de jeux vidéos, Institut National Polytechnique de Grenoble - INPG, April 2007.
http://tel. archives-ouvertes. fr/ tel-00366235/ en/ -
62R. Le Hy, P. Bessière.
Playing to Train Your Video Game Avatar, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 263–276.
http://hal. archives-ouvertes. fr/ hal-00338729/ en/ -
63O. Lebeltel, P. Bessière.
Basic Concepts of Bayesian Programming, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 19–48.
http://hal. archives-ouvertes. fr/ hal-00338715/ en/ -
64B. Leibe, A. Leonardis, B. Schiele.
Robust Object Detection with Interleaved Categorization and Segmentation, in: Int. J. of Computer Vision, 2008, vol. 77, no 1-3, p. 259-289. -
65H. C. Longuet-Higgins, K. Prazdny.
The interpretation of a moving retinal image, in: Royal Society of London B: Biological Sciences, 1980, vol. 208, p. 385–397. -
66P. R. MacNeilage, M. S. Banks, G. C. De Angelis, D. E. Angelaki.
Vestibular heading discrimination and sensitivity to linear acceleration in head and world coordinates, in: J. of Neuroscience, 2010, vol. 30, p. 9084–9094. -
67P. R. MacNeilage, N. Ganesan, D. E. Angelaki.
Computational Approaches to Spatial Orientation: From Transfer Functions to Dynamic Bayesian Inference, in: J Neurophysiol, 2008, vol. 100, p. 2981–2996. -
68A. R. Manish Meta.
Meta-Level Behavior Adaptation in Real-Time Strategy Games, in: ICCBR-10 Workshop on Case-Based Reasoning for Computer Games, Alessandria, Italy, 2010. -
69A. Martinelli.
Local Decomposition and Observability Properties for Automatic Calibration in Mobile Robotics, in: Icra, Japan Kobe, 2009.
http://hal. inria. fr/ inria-00359939/ en/ -
70A. Martinelli.
Using the Distribution Theory to Simultaneously Calibrate the Sensors of a Mobile Robot., in: RSS, Canada, 2009.
http://hal. archives-ouvertes. fr/ hal-00428646/ en/ -
71A. Martinelli.
Using the Distribution Theory to Simultaneously Calibrate the Sensors of a Mobile Robot, INRIA, 2009, no RR-6796.
http://hal. inria. fr/ inria-00353079/ PDF/ RR-6796. pdf -
72A. Martinelli.
Continuous Symmetries and Observability Properties in Autonomous Navigation, INRIA, 2010, no RR-7049.
http://hal. inria. fr/ inria-00421233/ PDF/ RR-7049V2. pdf -
73K. Mekhnacha, Y. Mao, D. Raulo, C. Laugier.
Bayesian occupancy filter based 'Fast Clustering-Tracking' algorithm, in: IEEE/RSJ 2008 International Conference on Intelligent Robots and Systems, France Nice, 2008.
http://hal. inria. fr/ inria-00336356/ en/ -
74K. Mekhnacha, P. Bessière.
BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 205–231.
http://hal. archives-ouvertes. fr/ hal-00338728/ en/ -
75D. M. Merfeld, L. Zupan, R. J. Peterka.
Humans use internal models to estimate gravity and linear acceleration, in: Nature, 1999, vol. 398, p. 615–618. -
76K. Mishra, S. Ontañón, A. Ram.
Situation Assessment for Plan Retrieval in Real-Time Strategy Games, in: ECCBR, 2008, p. 355-369. -
77A. Mourikis, N. Trawny, S. Roumeliotis, A. Johnson, A. Ansar, L. Matthies.
Vision-Aided Inertial Navigation for Spacecraft Entry, Descent, and Landing, in: Transactions on Robotics, 2009, vol. 25, no 2, p. 264–280. -
78I. Paromtchik, C. Laugier, M. Perrollaz, Y. Mao, A. Nègre, C. Tay.
The ArosDyn Project: Robust Analysis of Dynamic Scenes, in: International Conference on Control, Automation, Robotics and Vision, Singapore Singapour, December 2010.
http://hal. inria. fr/ inria-00539999/ en -
79M. Perrollaz, A. Spalanzani, D. Aubert.
Probabilistic representation of the uncertainty of stereo-vision and application to obstacle detection, in: Intelligent Vehicles Symposium, United States San Diego, 2010.
http://hal. inria. fr/ inria-00493397/ en -
80M. Perrollaz, J.-D. Yoder, C. Laugier.
Using obstacles and road pixels in the disparity-space computation of stereo-vision based occupancy grids, in: IEEE Intelligent Transportation Systems Conference, Portugal Madeira, September 2010.
http://hal. inria. fr/ inria-00527777/ en -
81M. Perrollaz, J.-D. Yoder, A. Spalanzani, C. Laugier.
Using the disparity space to compute occupancy grids from stereo-vision, in: International Conference on Intelligent Robots and Systems (IROS), Taiwan, Province Of China Taipei, October 2010.
http://hal. inria. fr/ inria-00527785/ en -
82C. Pradalier, P. Bessière.
The CyCab : Bayesian Navigation on SensoryMotor Trajectories, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 51–75.
http://hal. archives-ouvertes. fr/ hal-00338720/ en/ -
83A. Renzaglia, L. Doitsidis, A. Martinelli, E. Kosmatopoulos.
Adaptive-based, Scalable Design for Autonomous Multi-Robot Surveillance, in: 49th IEEE Conference on Decision and Control (CDC), Atlanta, États-Unis, December 2010.
http://hal. inria. fr/ inria-00579310/ en/ -
84A. Renzaglia, A. Martinelli.
Distributed Coverage Control for a Multi-Robot Team in a Non-Convex Environment, in: IEEE IROS09 3rd Workshop on Planning, Perception and Navigation for Intelligent Vehicles, États-Unis d'Am'erique St. Louis, 2009.
http://hal. inria. fr/ inria-00428075/ en/ -
85A. Renzaglia, L. Doitsidis, A. Martinelli, E. Kosmatopoulos.
Cognitive-based Adaptive Control for Cooperative Multi-Robot Coverage, in: IEEE International Conference on Robotics and Intelligent System (IROS), Taipei Taïwan, Province De Chine, 10 2010.
http://hal. inria. fr/ inria-00537808/ PDF/ cao_iros10. pdf -
86M. Rohrbach, M. Enzweiler, D. M. Gavrila.
High-Level Fusion of Depth and Intensity for Pedestrian Classification, in: DAGM-Symposium, 2009, p. 101-110. -
87D. Strelow, S. Singh.
Motion estimation from image and inertial measurements, in: International Journal of Robotics Research, 2004, vol. 23. -
88C. Tay, K. Mekhnacha, C. Chen, M. Yguel, C. Laugier.
An Efficient Formulation of the Bayesian Occupation Filter for Target Tracking in Dynamic Environments, in: International Journal Of Autonomous Vehicles, 2007.
http://hal. inria. fr/ inria-00182089/ en/ -
89C. Tay, K. Mekhnacha, M. Yguel, C. Coué, C. Pradalier, C. Laugier, T. Fraichard, P. Bessière.
The Bayesian Occupation Filter, in: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, 2008, p. 77–98.
http://hal. archives-ouvertes. fr/ hal-00338721/ en/ -
90S. Thrun, W. Burgard, D. Fox.
Probabilistic Robotics, The MIT Press, 2005. -
91S. Thrun, W. Burgard, D. Fox.
Probabilistic Robotics, MIT Press, 2005, vol. 45, no 3. -
92B. G. Weber, M. Mateas.
A Data Mining Approach to Strategy Prediction, in: CIG (IEEE), 2009. -
93S. Weiss, D. Scaramuzza, R. Siegwart.
Monocular-SLAM-Based Navigation for Autonomous Micro Helicopters in GPS-Denied Environments, in: Journal of Field Robotics, 2011, vol. 28, no 6. -
94M. Wexler, F. Panerai, I. Lamouret, J. Droulez.
Self-motion and perception of stationary objects, in: Nature, 2001, vol. 409, p. 85–88. -
95L. H. Zupan, D. M. Merfeld, C. Darlot.
Using sensory weighting to model the influence of canal, otolith and visual cues on spatial orientation and eye movements, in: Biol. Cybern, 2002, vol. 86, p. 209–230.