Следене
Tomáš Vintr
Tomáš Vintr
Потвърден имейл адрес: fel.cvut.cz
Заглавие
Позовавания
Позовавания
Година
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
402018
Warped hypertime representations for long-term autonomy of mobile robots
T Krajník, T Vintr, S Molina, JP Fentanes, G Cielniak, OM Mozos, ...
IEEE Robotics and Automation Letters 4 (4), 3310-3317, 2019
282019
Spatio-temporal representation for long-term anticipation of human presence in service robotics
T Vintr, Z Yan, T Duckett, T Krajník
2019 International Conference on Robotics and Automation (ICRA), 2620-2626, 2019
222019
Time-varying pedestrian flow models for service robots
T Vintr, S Molina, R Senanayake, G Broughton, Z Yan, J Ulrich, TP Kucner, ...
2019 European Conference on Mobile Robots (ECMR), 1-7, 2019
212019
Predictive and adaptive maps for long-term visual navigation in changing environments
L Halodová, E Dvořráková, F Majer, T Vintr, OM Mozos, F Dayoub, ...
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
152019
Adaptive image processing methods for outdoor autonomous vehicles
L Halodová, E Dvořáková, F Majer, J Ulrich, T Vintr, K Kusumam, T Krajník
Modelling and Simulation for Autonomous Systems: 5th International …, 2019
152019
Spatiotemporal models of human activity for robotic patrolling
T Vintr, K Eyisoy, V Vintrová, Z Yan, Y Ruichek, T Krajník
Modelling and Simulation for Autonomous Systems: 5th International …, 2019
102019
Spatiotemporal models for motion planning in human populated environments
T Vintr, S Molina Mellado, G Cielniak, T Duckett, T Krajnik
Czech Technical University in Prague, Faculty of Electrical Engineering, 2017
82017
Batch FCM with volume prototypes for clustering high-dimensional datasets with large number of clusters
T Vintr, L Pastorek, V Vintrova, H Rezankova
2011 Third World Congress on Nature and Biologically Inspired Computing, 427-432, 2011
72011
Natural criteria for comparison of pedestrian flow forecasting models
T Vintr, Z Yan, K Eyisoy, F Kubiš, J Blaha, J Ulrich, CS Swaminathan, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
62020
A versatile visual navigation system for autonomous vehicles
F Majer, L Halodová, T Vintr, M Dlouhý, L Merenda, JP Fentanes, ...
Modelling and Simulation for Autonomous Systems: 5th International …, 2019
62019
CHRONOROBOTICS: Representing the structure of time for service robots
T Krajník, T Vintr, G Broughton, F Majer, T Rouček, J Ulrich, J Blaha, ...
Proceedings of the 2020 4th International Symposium on Computer Science and …, 2020
52020
Autonomous robot navigation based on clustering across images
T Vintr, L Pastorek, H Rezankova
Research and Education in Robotics-EUROBOT 2011: International Conference …, 2011
52011
Navigation without localisation: reliable teach and repeat based on the convergence theorem. In 2018 IEEE
T Krajnık, F Majer, L Halodová, T Vintr
RSJ International Conference on Intelligent Robots and Systems (IROS), 1657-1664, 0
5
Towards automated benchmarking of robotic experiments
T Krajnık, M Hanheide, T Vintr, K Kusumam, T Duckett
ICRA Workshop on Reproducible Research in Robotics, 2017
32017
Poisson distribution based initialization for fuzzy clustering
T Vintr, V Vintrova, H Rezankova
Neural Network World 22 (2), 139, 2012
32012
Robust Image Alignment for Outdoor Teach-and-Repeat Navigation
G Broughton, P Linder, T Rouček, T Vintr, T Krajník
2021 European Conference on Mobile Robots (ECMR), 1-6, 2021
22021
Embedding Weather Simulation in Auto-Labelling Pipelines Improves Vehicle Detection in Adverse Conditions
G Broughton, J Janota, J Blaha, T Rouček, M Simon, T Vintr, T Yang, ...
Sensors 22 (22), 8855, 2022
12022
Spatio-temporal Representation of Time-varying Pedestrian Flows
T Vintr, S Molina, R Senanayake, G Broughton, Z Yan, J Ulrich, TP Kucner, ...
ICRA 2019 Workshop on Long-term Human Motion Prediction, 2019
12019
Toward benchmarking of long-term spatio-temporal maps of pedestrian flows for human-aware navigation
T Vintr, J Blaha, M Rektoris, J Ulrich, T Rouček, G Broughton, Z Yan, ...
Frontiers in robotics and AI 9, 2022
2022
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