Jan Blaha

According to our database, Jan Blaha authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Predictive Data Acquisition for Lifelong Visual Teach, Repeat and Learn.

Tomás Roucek, Zdenek Rozsypálek, Jan Blaha, Jirí Ulrich, Tomás Krajník

IEEE Robotics Autom. Lett., November, 2024

Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots.

Jirí Ulrich, Martin Stefanec, Fatemeh Rekabi Bana, Laurenz A. Fedotoff, Tomás Roucek, Bilal Y. Gündeger, Mahmood Saadat, Jan Blaha, Jirí Janota, Daniel Nicolas Hofstadler, Kristina Zampachu, Erhan Ege Keyvan, Babür Erdem, Erol Sahin, Hande Alemdar, Ali Emre Turgut, Farshad Arvin, Thomas Schmickl, Tomás Krajník

Sci. Robotics, 2024

Toward Perpetual Occlusion-Aware Observation of Comb States in Living Honeybee Colonies.

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

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

2022

Contrastive Learning for Image Registration in Visual Teach and Repeat Navigation.

Zdenek Rozsypálek, George Broughton, Pavel Linder, Tomás Roucek, Jan Blaha, Leonard Mentzl, Keerthy Kusumam, Tomás Krajník

Sensors, 2022

Self-Supervised Robust Feature Matching Pipeline for Teach and Repeat Navigation.

Tomás Roucek, Arash Sadeghi Amjadi, Zdenek Rozsypálek, George Broughton, Jan Blaha, Keerthy Kusumam, Tomás Krajník

Sensors, 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

Bootstrapped learning for car detection in planar lidars.

George Broughton, Jirí Janota, Jan Blaha, Zhi Yan, Tomás Krajník

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

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

Boosting the Performance of Object Detection CNNs with Context-Based Anomaly Detection.

Jan Blaha, George Broughton, Tomás Krajník

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020