Road Scene Analysis by Stereovision: a Robust and Quasi-Dense Approach. - Nicolas Hautière; Raphaël Labayrade; Mathias Perrollaz; Didier Aubert (ICARCV, 2006)

A Three Resolution Framework for Reliable Road Obstacle Detection Using Stereovision. - Mathias Perrollaz; Raphaël Labayrade; Romain Gallen; Didier Aubert (MVA, 2007)

Détection d'obstacles multi-capteurs supervisée par stéréovision. (Multi-sensor road obstacle deetection controled by stereovision). - Mathias Perrollaz (2008)

The ArosDyn project: Robust analysis of dynamic scenes. - Igor E. Paromtchik; Christian Laugier; Mathias Perrollaz; Yong Mao; Amaury Nègre; Christopher Tay (ICARCV, 2010)

Using the disparity space to compute occupancy grids from stereo-vision. - Mathias Perrollaz; John-David Yoder; Anne Spalanzani; Christian Laugier (IROS, 2010)

Experiments in Vision-Laser Fusion Using the Bayesian Occupancy Filter. - John-David Yoder; Mathias Perrollaz; Igor E. Paromtchik; Yong Mao; Christian Laugier (ISER, 2010)

Using obstacles and road pixels in the disparity-space computation of stereo-vision based occupancy grids. - Mathias Perrollaz; John-David Yoder; Christian Laugier (ITSC, 2010)

Probabilistic representation of the uncertainty of stereo-vision and application to obstacle detection. - Mathias Perrollaz; Anne Spalanzani; Didier Aubert (Intelligent Vehicles Symposium, 2010)

Fusion of telemetric and visual data from road scenes with a lexus experimental platform. - Igor E. Paromtchik; Mathias Perrollaz; Christian Laugier (Intelligent Vehicles Symposium, 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)

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 (ICARCV, 2012)

Computing occupancy grids from multiple sensors using linear opinion pools. - Juan David Adarve; Mathias Perrollaz; Alexandros Makris; Christian Laugier (ICRA, 2012)

Teachless teach-repeat: Toward vision-based programming of industrial robots. - Mathias Perrollaz; Sami Khorbotly; Amber Cool; John-David Yoder; Eric T. Baumgartner (ICRA, 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 (ISER, 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)

Learning-based approach for online lane change intention prediction. - Puneet Kumar; Mathias Perrollaz; Stéphanie Lefevre; Christian Laugier (Intelligent Vehicles Symposium, 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)

Probabilistic Grid-Based Collision Risk Prediction for Driving Application. - Lukas Rummelhard; Amaury Nègre; Mathias Perrollaz; Christian Laugier (ISER, 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)

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)