mathias perrollaz
mathias perrollaz
research engineer, Inria
Verified email at
Cited by
Cited by
Learning-based approach for online lane change intention prediction
P Kumar, M Perrollaz, S Lefevre, C Laugier
2013 IEEE Intelligent Vehicles Symposium (IV), 797-802, 2013
Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety
C Laugier, IE Paromtchik, M Perrollaz, M Yong, JD Yoder, C Tay, ...
IEEE Intelligent Transportation Systems Magazine 3 (4), 4-19, 2011
Long range obstacle detection using laser scanner and stereovision
M Perrollaz, R Labayrade, C Royere, N Hautiere, D Aubert
2006 IEEE intelligent vehicles symposium, 182-187, 2006
Probabilistic representation of the uncertainty of stereo-vision and application to obstacle detection
M Perrollaz, A Spalanzani, D Aubert
2010 IEEE Intelligent Vehicles Symposium, 313-318, 2010
Computing occupancy grids from multiple sensors using linear opinion pools
JD Adarve, M Perrollaz, A Makris, C Laugier
2012 IEEE International Conference on Robotics and Automation, 4074-4079, 2012
A visibility-based approach for occupancy grid computation in disparity space
M Perrollaz, JD Yoder, A Nègre, A Spalanzani, C Laugier
IEEE Transactions on Intelligent Transportation Systems 13 (3), 1383-1393, 2012
Awareness of road scene participants for autonomous driving
A Petrovskaya, M Perrollaz, L Oliveira, L Spinello, R Triebel, A Makris, ...
Handbook of Intelligent Vehicles, 1383-1432, 2012
Road scene analysis by stereovision: a robust and quasi-dense approach
N Hautière, R Labayrade, M Perrollaz, D Aubert
2006 9th International Conference on Control, Automation, Robotics and …, 2006
Probabilistic grid-based collision risk prediction for driving application
L Rummelhard, A Nègre, M Perrollaz, C Laugier
Experimental Robotics: The 14th International Symposium on Experimental …, 2016
Using the disparity space to compute occupancy grids from stereo-vision
M Perrollaz, JD Yoder, A Spalanzani, C Laugier
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
Free space estimation for autonomous navigation
N Soquet, M Perrollaz, R Labayrade, D Aubert
5th International Conference on Computer Vision Systems, 2007
A robust motion detection technique for dynamic environment monitoring: A framework for grid-based monitoring of the dynamic environment
Q Baig, M Perrollaz, C Laugier
IEEE Robotics & Automation Magazine 21 (1), 40-48, 2014
Obstacle detection based on fusion between stereovision and 2d laser scanner
R Labayrade, D Gruyer, C Royere, M Perrollaz, D Aubert
Mobile Robots: Perception & Navigation, 2007
Using obstacles and road pixels in the disparity-space computation of stereo-vision based occupancy grids
M Perrollaz, JD Yoder, C Laugier
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
Dynamic scene analysis method, and associated analysis module and computer programme
C Laugier, A Negre, M Perrollaz, L Rummelhard
US Patent 10,290,116, 2019
Teachless teach-repeat: Toward vision-based programming of industrial robots
M Perrollaz, S Khorbotly, A Cool, JD Yoder, E Baumgartner
2012 IEEE International Conference on Robotics and Automation, 409-414, 2012
Probabilistic integration of intensity and depth information for part-based vehicle detection
A Makris, M Perrollaz, C Laugier
IEEE Transactions on Intelligent Transportation Systems 14 (4), 1896-1906, 2013
Vehicle identification using near infrared vision and applications to cooperative perception
M Perrollaz, A Bertrand, J Ehrlich
2007 IEEE Intelligent Vehicles Symposium, 290-295, 2007
Experimental comparison of Bayesian positioning methods based on multi-sensor data fusion
D Gruyer, A Lambert, M Perrollaz, D Gingras
International Journal of Vehicle Autonomous Systems 12 (1), 24-43, 2014
Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking
Q Baig, M Perrollaz, JB Do Nascimento, C Laugier
2012 12th International Conference on Control Automation Robotics & Vision …, 2012
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