Tomas Vintr

According to our database, Tomas Vintr authored at least 18 papers between 2011 and 2024.

Collaborative distances:

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

2024

Effective Searching for the Honeybee Queen in a Living Colony.

Jan Blaha, Jan Mikula, Tomás Vintr, Jirí Janota, Jirí Ulrich, Tomás Roucek, Fatemeh Rekabi Bana, Laurenz Alexander Fedotoff, Martin Stefanec, Thomas Schmickl, Farshad Arvin, Miroslav Kulich, Tomás Krajník

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Multidimensional Particle Filter for Long-Term Visual Teach and Repeat in Changing Environments.

Zdenek Rozsypálek, Tomás Roucek, Tomás Vintr, Tomás Krajník

IEEE Robotics Autom. Lett., April, 2023

2022

Embedding Weather Simulation in Auto-Labelling Pipelines Improves Vehicle Detection in Adverse Conditions.

George Broughton, Jirí Janota, Jan Blaha, Tomás Roucek, Maxim Simon, Tomás Vintr, Tao Yang, Zhi Yan, Tomás Krajník

Sensors, 2022

Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation.

Tomás Vintr, Jan Blaha, Martin Rektoris, Jirí Ulrich, Tomás Roucek, George Broughton, Zhi Yan, Tomás Krajník

Frontiers Robotics AI, 2022

2021

Robust Image Alignment for Outdoor Teach-and-Repeat Navigation.

George Broughton, Pavel Linder, Tomás Roucek, Tomás Vintr, Tomás Krajník

Proceedings of the 10th European Conference on Mobile Robots, 2021

2020

Natural Criteria for Comparison of Pedestrian Flow Forecasting Models.

Tomás Vintr, Zhi Yan, Kerem Eyisoy, Filip Kubis, Jan Blaha, Jirí Ulrich, Chittaranjan Srinivas Swaminathan, Sergi Molina Mellado, Tomasz Kucner, Martin Magnusson, Grzegorz Cielniak, Jan Faigl, Tom Duckett, Achim J. Lilienthal, Tomás Krajník

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Warped Hypertime Representations for Long-Term Autonomy of Mobile Robots.

Tomás Krajník, Tomás Vintr, Sergi Molina Mellado, Jaime Pulido Fentanes, Grzegorz Cielniak, Óscar Martínez Mozos, George Broughton, Tom Duckett

IEEE Robotics Autom. Lett., 2019

Predictive and adaptive maps for long-term visual navigation in changing environments.

Lucie Halodová, Eliska Dvoráková, Filip Majer, Tomás Vintr, Óscar Martínez Mozos, Feras Dayoub, Tomás Krajník

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Spatio-temporal representation for long-term anticipation of human presence in service robotics.

Tomás Vintr, Zhi Yan, Tom Duckett, Tomás Krajník

Proceedings of the International Conference on Robotics and Automation, 2019

Time-varying Pedestrian Flow Models for Service Robots.

Tomás Vintr, Sergi Molina Mellado, Ransalu Senanayake, George Broughton, Zhi Yan, Jirí Ulrich, Tomasz Piotr Kucner, Chittaranjan Srinivas Swaminathan, Filip Majer, Mária Stachová, Achim J. Lilienthal, Tomás Krajník

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018

Warped Hypertime Representations for Long-term Autonomy of Mobile Robots.

Tomás Krajník, Tomas Vintr, Sergi Molina Mellado, Jaime Pulido Fentanes, Grzegorz Cielniak, Tom Duckett

CoRR, 2018

Spatiotemporal Models of Human Activity for Robotic Patrolling.

Tomás Vintr, Kerem Eyisoy, Vanda Vintrová, Zhi Yan, Yassine Ruichek, Tomás Krajník

Proceedings of the Modelling and Simulation for Autonomous Systems, 2018

A Versatile Visual Navigation System for Autonomous Vehicles.

Filip Majer, Lucie Halodová, Tomás Vintr, Martin Dlouhý, Lukás Merenda, Jaime Pulido Fentanes, David Portugal, Micael S. Couceiro, Tomás Krajník

Proceedings of the Modelling and Simulation for Autonomous Systems, 2018

Adaptive Image Processing Methods for Outdoor Autonomous Vehicles.

Lucie Halodová, Eliska Dvoráková, Filip Majer, Jirí Ulrich, Tomás Vintr, Keerthy Kusumam, Tomás Krajník

Proceedings of the Modelling and Simulation for Autonomous Systems, 2018

Navigation without localisation: reliable teach and repeat based on the convergence theorem.

Tomás Krajník, Filip Majer, Lucie Halodova, Tomas Vintr

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Navigation without localisation: reliable teach and repeat based on the convergence theorem.

Tomás Krajník, Filip Majer, Lucie Halodova, Jan Bayer, Tomas Vintr, Jan Faigl

CoRR, 2017

2011

Batch FCM with volume prototypes for clustering high-dimensional datasets with large number of clusters.

Tomás Vintr, Lukas Pastorek, Vanda Vintrová, Hana Rezanková

Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Autonomous Robot Navigation Based on Clustering across Images.

Tomas Vintr, Lukas Pastorek, Hana Rezanková

Proceedings of the Research and Education in Robotics - EUROBOT 2011, 2011