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hal-00671212v1  Communication dans un congrès
Mathias Perrollaz, Raphaël Labayrade, Romain Gallen, Didier Aubert. A Three Resolution Framework for Reliable Road Obstacle Detection using Stereovision
Machine Vision and Applications, May 2007, Tokyo, Japan. 2007
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hal-00671209v1  Communication dans un congrès
Mathias Perrollaz, Sami Khorbotly, Amber Cool, John-David Yoder, Eric Baumgartner. Teachless teach-repeat: Toward Vision-Based Programming of Industrial Robots
IEEE. IEEE International Conference on Robotics and Automation, May 2012, St Paul, Minnesota, United States. 2012
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inria-00527785v1  Communication dans un congrès
Mathias Perrollaz, John-David Yoder, Anne Spalanzani, Christian Laugier. Using the disparity space to compute occupancy grids from stereo-vision
IEEE. International Conference on Intelligent Robots and Systems (IROS), Oct 2010, Taipei, Taiwan. 2010
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inria-00527777v1  Communication dans un congrès
Mathias Perrollaz, John-David Yoder, Christian Laugier. Using obstacles and road pixels in the disparity-space computation of stereo-vision based occupancy grids
IEEE. IEEE Intelligent Transportation Systems Conference, Sep 2010, Madeira, Portugal. 2010
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hal-00671211v1  Communication dans un congrès
Juan David Adarve, Mathias Perrollaz, Alexandros Makris, Christian Laugier. Computing Occupancy Grids from Multiple Sensors using Linear Opinion Pools
IEEE International Conference on Robotics and Automation, May 2012, St Paul, Minnesota, United States. 2012
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hal-00671213v1  Communication dans un congrès
Mathias Perrollaz, Raphaël Labayrade, Cyril Royere, Nicolas Hautiere, Didier Aubert. Long Range Obstacle Detection Using Laser Scanner and Stereovision
IEEE Intelligent Vehicles Symposium, 2006, Tokyo, Japan. 2006
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hal-00652591v1  Rapport
Mathias Perrollaz, John-David Yoder, Amaury Negre, Anne Spalanzani, Christian Laugier. A visibility-based approach for occupancy grid computation in disparity space
[Research Report] RR-7841, INRIA. 2011, 21p
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hal-01011808v1  Communication dans un congrès
Lukas Rummelhard, Amaury Nègre, Mathias Perrollaz, Christian Laugier. Probabilistic Grid-based Collision Risk Prediction for Driving Application
ISER, Jun 2014, Marrakech/Essaouira, Morocco. 2014
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inria-00613316v1  Rapport
Alexandros Makris, Mathias Perrollaz, Igor Paromtchik, Christian Laugier. Integration of visual and depth information for vehicle detection
[Research Report] RR-7703, INRIA. 2011
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hal-00780658v1  Communication dans un congrès
Nicolas Soquet, Mathias Perrollaz, Raphaël Labayrade, Didier Aubert. Free Space Estimation for Autonomous Navigation
5th International Conference on Computer Vision Systems, 2007, Bielefeld, Germany. 2007
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hal-00780665v1  Communication dans un congrès
Nicolas Hautière, Raphaël Labayrade, Mathias Perrollaz, Didier Aubert. Road Scene Analysis by Stereovision: a Robust and Quasi-Dense Approach
International Conference on Control, Automation, Robotics and Vision (ICARCV), 2006, Singapour, Singapore. IEEE, 2006, <10.1109/ICARCV.2006.345163>
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inria-00538678v1  Communication dans un congrès
John-David Yoder, Mathias Perrollaz, Igor Paromtchik, Yong Mao, Christian Laugier. Experiments in Vision-Laser Fusion using the Bayesian Occupancy Filter
International Symposium on Experimental Robotics, Dec 2010, Delhi, India. 2010
hal-00757400v1  Communication dans un congrès
Qadeer Baig, Mathias Perrollaz, Jander Botelho, Christian Laugier. Using Fast Classification of Static and Dynamic Environment for Improving Bayesian Occupancy Filter (BOF) and Tracking
In IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), Dec 2012, Guangzou, China, China. 2012
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hal-00780645v1  Communication dans un congrès
Axel Von Arnim, Mathias Perrollaz, Arnaud Bertrand, Jacques Ehrlich. Vehicle Identification Using Near Infrared Vision and Applications to Cooperative Perception
International Symposium on Intelligent Vehicles, Jun 2007, Istanbul, Turkey. IEEE, 2007, <10.1109/IVS.2007.4290129>
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hal-00765352v1  Communication dans un congrès
John-David Yoder, Jeffrey West, Eric Baumgartner, Mathias Perrollaz, Michael Seelinger et al.  Experiments comparing precision of stereo-vision approaches for control of an industrial manipulator
Internaltional Symposium on Experimental Robotics, Jun 2012, Quebec, Canada. Springer, 2012
hal-00757398v1  Communication dans un congrès
Qadeer Baig, Mathias Perrollaz, Jander Botelho, Christian Laugier. Fast classification of static and dynamic environment for Bayesian Occupancy Filter (BOF)
IROS12 4th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Jun 2012, Villamoura, Portugal, Portugal. 2012
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tel-00656864v1  Thèse
Mathias Perrollaz. Détection d'obstacles multi-capteurs supervisée par stéréovision
Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Pierre et Marie Curie - Paris VI, 2008. Français
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hal-00821309v1  Communication dans un congrès
P. Kumar, Mathias Perrollaz, Stéphanie Lefèvre, Christian Laugier. Learning-based approach for online lane change intention prediction
IEEE Intelligent Vehicles Symposium, Jun 2013, Gold Coast, Australia. 2013
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hal-00645046v1  Article dans une revue
Christian Laugier, Igor Paromtchik, Mathias Perrollaz, Yong Mao, John-David Yoder et al.  Probabilistic Analysis of Dynamic Scenes and Collision Risk Assessment to Improve Driving Safety
Its Journal, Informa UK (Taylor & Francis), 2011, 3 (4), pp.4-19. <10.1109/MITS.2011.942779>
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inria-00493397v1  Communication dans un congrès
Mathias Perrollaz, Anne Spalanzani, Didier Aubert. Probabilistic representation of the uncertainty of stereo-vision and application to obstacle detection
IEEE. Intellignet Vehicles Symposium, Jun 2010, San Diego, United States. 2010
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inria-00635779v1  Communication dans un congrès
Igor Paromtchik, Mathias Perrollaz, Christian Laugier. Fusion of Telemetric and Visual Data from Road Scenes with a Lexus Experimental Platform
IEEE International Symposium on Intelligent Vehicles, Jun 2011, Baden-baden, Germany. 2011
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hal-00683755v1  Communication dans un congrès
Alexandros Makris, Mathias Perrollaz, Igor Paromtchik, Christian Laugier. Integration of visual and depth information for vehicle detection
International Conference on Intelligent Robots and Systems, Workshop on Perception and Navigation for Autonomous Vehicles in Human Environment, 2011, San Francisco, United States. 2011
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hal-00683751v1  Chapitre d'ouvrage
Raphaël Labayrade, Mathias Perrollaz, Gruyer Dominique, Didier Aubert. Sensor Data Fusion for Road Obstacle Detection: A Validation Framework
Ciza Thomas. Sensor Fusion and Its Applications, in-tech / Sciyo, 2010, 978-953-307-101-5
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hal-00683758v1  Chapitre d'ouvrage
Raphaël Labayrade, Dominique Gruyer, Cyril Royere, Mathias Perrollaz, Didier Aubert. Obstacle Detection Based on Fusion Between Stereovision and 2D Laser Scanner
Sascha Kolski. Mobile Robots: Perception & Navigation, Pro Literatur Verlag, 2007, 3-86611-283-1
hal-00683761v1  Chapitre d'ouvrage
Anya Petrovskaya, Mathias Perrollaz, Luciano Oliveira, Luciano Spinello, Rudolph Triebel et al.  Awareness of Road Scene Participants for Autonomous Driving
Azim Eskandarian. Handbook of Intelligent Vehicles, Springer, pp.1383-1432, 2012, 978-0-85729-085-4. <10.1007/978-0-85729-085-4_54>
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inria-00539999v1  Communication dans un congrès
Igor Paromtchik, Christian Laugier, Mathias Perrollaz, Yong Mao, Amaury Negre et al.  The ArosDyn Project: Robust Analysis of Dynamic Scenes
International Conference on Control, Automation, Robotics and Vision, Dec 2010, Singapour, Singapore. 2010
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hal-00671208v1  Article dans une revue
Mathias Perrollaz, John-David Yoder, Amaury Nègre, Anne Spalanzani, Christian Laugier. A visibility-based Approach for Occupancy Grid Computation in Disparity Space
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2012, 13 (3), pp.1383-1393. <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6170895>. <10.1109/TITS.2012.2188393>
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