Filip Majer
Filip Majer
Czech Technical University in Prague, Artificial Intelligence Center
Verified email at fel.cvut.cz
TitleCited byYear
Adaptive image processing methods for outdoor autonomous vehicles
L Halodová, E Dvořáková, F Majer, J Ulrich, T Vintr, K Kusumam, T Krajník
International Conference on Modelling and Simulation for Autonomous Systesm …, 2018
52018
Navigation without localisation: reliable teach and repeat based on the convergence theorem
T Krajník, F Majer, L Halodová, T Vintr
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
42018
A precise teach and repeat visual navigation system based on the convergence theorem
F Majer, L Halodová, T Krajnik
Student Conf. on Planning in AI and Robotics (PAIR), 2017
22017
Time-varying pedestrian flow models for service robots
T Vintr, S Molina, R Senanayake, G Broughton, Z Yan, J Ulrich, T Kucner, ...
European Conference on Mobile Robots. ECMR, 2019
2019
A Versatile Visual Navigation System for Autonomous Vehicles
F Majer, L Halodová, T Vintr, M Dlouhý, L Merenda, JP Fentanes, ...
International Conference on Modelling and Simulation for Autonomous Systesm …, 2018
2018
WhyCode: Efficient and Versatile Fiducial Localisation System
J Ulrich, P Lightbody, A Weinstein, F Majer, T Krajnık
Spatio-temporal Representation of Time-varying Pedestrian Flows
T Vintr, S Molina, R Senanayake, G Broughton, Z Yan, J Ulrich, TP Kucner, ...
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