Jan Blaha
Jan Blaha
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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
Contrastive learning for image registration in visual teach and repeat navigation
Z Rozsypálek, G Broughton, P Linder, T Rouček, J Blaha, L Mentzl, ...
Sensors 22 (8), 2975, 2022
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, 890013, 2022
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
Self-supervised robust feature matching pipeline for teach and repeat navigation
T Rouček, AS Amjadi, Z Rozsypálek, G Broughton, J Blaha, K Kusumam, ...
Sensors 22 (8), 2836, 2022
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
Inferring Temporal Models of People Presence from Environment Structrure
J Blaha
Czech Technical University in Prague, 2020
Bootstrapped learning for car detection in planar lidars
G Broughton, J Janota, J Blaha, Z Yan, T Krajník
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 758-765, 2022
Real Time Fiducial Marker Localisation System with Full 6 DOF Pose Estimation
J Ulrich, J Blaha, A Alsayed, T Rouček, F Arvin, T Krajník
ACM SIGAPP Applied Computing Review 23 (1), 20-35, 2023
Predictive Data Acquisition for Lifelong Visual Teach, Repeat and Learn
T Rouček, Z Rozsypálek, J Blaha, J Ulrich, T Krajník
IEEE Robotics and Automation Letters, 2024
Unsupervised learning of semantic landmarks for visual navigation over extended periods of time
J Blaha
Czech Technical University in Prague, 2022
Boosting the Performance of Object Detection CNNs with Context-Based Anomaly Detection
J Blaha, G Broughton, T Krajník
International Conference on Collaborative Computing: Networking …, 2020
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