Mathias Perrollaz

According to our database, Mathias Perrollaz authored at least 20 papers between 2006 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

A Robust Motion Detection Technique for Dynamic Environment Monitoring: A Framework for Grid-Based Monitoring of the Dynamic Environment.

Qadeer Baig, Mathias Perrollaz, Christian Laugier

IEEE Robotics Autom. Mag., 2014

Proposition of Generic Validation criteria using Stereo-Vision for on-Road obstacle Detection.

Mathias Perrollaz, Raphaël Labayrade, Dominique Gruyer, Alain Lambert, Didier Aubert

Int. J. Robotics Autom., 2014

Probabilistic Grid-Based Collision Risk Prediction for Driving Application.

Lukas Rummelhard, Amaury Nègre, Mathias Perrollaz, Christian Laugier

Proceedings of the Experimental Robotics, 2014

2013

Probabilistic Integration of Intensity and Depth Information for Part-Based Vehicle Detection.

Alexandros Makris, Mathias Perrollaz, Christian Laugier

IEEE Trans. Intell. Transp. Syst., 2013

Learning-based approach for online lane change intention prediction.

Puneet Kumar, Mathias Perrollaz, Stéphanie Lefevre, Christian Laugier

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

2012

A Visibility-Based Approach for Occupancy Grid Computation in Disparity Space.

Mathias Perrollaz, John-David Yoder, Amaury Nègre, Anne Spalanzani, Christian Laugier

IEEE Trans. Intell. Transp. Syst., 2012

Experiments Comparing Precision of Stereo-Vision Approaches for Control of an Industrial Manipulator.

John-David Yoder, Jeffrey West, Eric T. Baumgartner, Mathias Perrollaz, Michael J. Seelinger, Matthew L. Robinson

Proceedings of the Experimental Robotics, 2012

Teachless teach-repeat: Toward vision-based programming of industrial robots.

Mathias Perrollaz, Sami Khorbotly, Amber Cool, John-David Yoder, Eric T. Baumgartner

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Computing occupancy grids from multiple sensors using linear opinion pools.

Juan David Adarve, Mathias Perrollaz, Alexandros Makris, Christian Laugier

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking.

Qadeer Baig, Mathias Perrollaz, Jander Botelho Do Nascimento, Christian Laugier

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2011

Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety.

Christian Laugier, Igor E. Paromtchik, Mathias Perrollaz, Yong Mao, John-David Yoder, Christopher Tay, Kamel Mekhnacha, Amaury Nègre

IEEE Intell. Transp. Syst. Mag., 2011

Fusion of telemetric and visual data from road scenes with a lexus experimental platform.

Igor E. Paromtchik, Mathias Perrollaz, Christian Laugier

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010

Probabilistic representation of the uncertainty of stereo-vision and application to obstacle detection.

Mathias Perrollaz, Anne Spalanzani, Didier Aubert

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Using obstacles and road pixels in the disparity-space computation of stereo-vision based occupancy grids.

Mathias Perrollaz, John-David Yoder, Christian Laugier

Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Experiments in Vision-Laser Fusion Using the Bayesian Occupancy Filter.

John-David Yoder, Mathias Perrollaz, Igor E. Paromtchik, Yong Mao, Christian Laugier

Proceedings of the Experimental Robotics, 2010

Using the disparity space to compute occupancy grids from stereo-vision.

Mathias Perrollaz, John-David Yoder, Anne Spalanzani, Christian Laugier

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

The ArosDyn project: Robust analysis of dynamic scenes.

Igor E. Paromtchik, Christian Laugier, Mathias Perrollaz, Yong Mao, Amaury Nègre, Christopher Tay

Proceedings of the 11th International Conference on Control, 2010

2008

Détection d'obstacles multi-capteurs supervisée par stéréovision. (Multi-sensor road obstacle deetection controled by stereovision).

Mathias Perrollaz

PhD thesis, 2008

2007

A Three Resolution Framework for Reliable Road Obstacle Detection Using Stereovision.

Mathias Perrollaz, Raphaël Labayrade, Romain Gallen, Didier Aubert

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

2006

Road Scene Analysis by Stereovision: a Robust and Quasi-Dense Approach.

Nicolas Hautière, Raphaël Labayrade, Mathias Perrollaz, Didier Aubert

Proceedings of the Ninth International Conference on Control, 2006