Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Keerthy Kusumam"'
Autor:
Zdeněk Rozsypálek, George Broughton, Pavel Linder, Tomáš Rouček, Jan Blaha, Leonard Mentzl, Keerthy Kusumam, Tomáš Krajník
Publikováno v:
Sensors, Vol 22, Iss 8, p 2975 (2022)
Visual teach and repeat navigation (VT&R) is popular in robotics thanks to its simplicity and versatility. It enables mobile robots equipped with a camera to traverse learned paths without the need to create globally consistent metric maps. Although
Externí odkaz:
https://doaj.org/article/20f61a9637194d73aaae1ee26a14823c
Autor:
Tomáš Rouček, Arash Sadeghi Amjadi, Zdeněk Rozsypálek, George Broughton, Jan Blaha, Keerthy Kusumam, Tomáš Krajník
Publikováno v:
Sensors, Vol 22, Iss 8, p 2836 (2022)
The performance of deep neural networks and the low costs of computational hardware has made computer vision a popular choice in many robotic systems. An attractive feature of deep-learned methods is their ability to cope with appearance changes caus
Externí odkaz:
https://doaj.org/article/da47cad95d824de3b7f31c79745dccce
Autor:
Zdeněk Rozsypálek, George Broughton, Pavel Linder, Tomáš Rouček, Keerthy Kusumam, Tomáš Krajník
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c6574b2bbf56ec9cc9c7c6ff7b8b184
https://doi.org/10.1145/3477314.3507045
https://doi.org/10.1145/3477314.3507045
Autor:
Jan Blaha, Tomáš Rouček, Keerthy Kusumam, Tomáš Krajník, Leonard Mentzl, Pavel Linder, Zdeněk Rozsypálek, George Broughton
Publikováno v:
Sensors; Volume 22; Issue 8; Pages: 2975
Visual teach and repeat navigation (VT&R) is popular in robotics thanks to its simplicity and versatility. It enables mobile robots equipped with a camera to traverse learned paths without the need to create globally consistent metric maps. Although
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a5943b25129f85f44f1c49cf05afb9d
Publikováno v:
2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffdd5ccf9cf3365ba55cebb31a87196d
https://doi.org/10.1109/aciiw52867.2021.9666292
https://doi.org/10.1109/aciiw52867.2021.9666292
Publikováno v:
ICPR
This paper addresses the problem of manipulating a face image in terms of changing its pose. To achieve this, we propose a new method that can be trained under the very general “unpaired” setting. To this end, we firstly propose to model the gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bc8d188333581d1dc1ccff7fc5c0f85
https://doi.org/10.1109/icpr48806.2021.9412051
https://doi.org/10.1109/icpr48806.2021.9412051
Autor:
Jan Blaha, Tomáš Rouček, Keerthy Kusumam, Tomáš Krajník, Zdeněk Rozsypálek, Arash Sadeghi Amjadi, George Broughton
Publikováno v:
Sensors; Volume 22; Issue 8; Pages: 2836
The performance of deep neural networks and the low costs of computational hardware has made computer vision a popular choice in many robotic systems. An attractive feature of deep-learned methods is their ability to cope with appearance changes caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbde210373abe51c91526acc4e36ae9c
https://doi.org/10.3390/s22082836
https://doi.org/10.3390/s22082836
Publikováno v:
Journal of Field Robotics. 34:1505-1518
This paper describes a 3D vision system for robotic harvesting of broccoli using low-cost RGB-D sensors, which was developed and evaluated using sensory data collected under real-world field conditions in both the UK and Spain. The presented method a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71482bf6da3faa9ab9ade2dfbd253e6f
https://doi.org/10.1002/rob.21726
https://doi.org/10.1002/rob.21726
Publikováno v:
IVA
Self-report questionnaires like PHQ-9 and GAD-7 are often used in the field of psychology to detect mental health problems and measure their severity. Their validity has been well established by a number of previous studies. However, most previous st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::406060255dee11187b2156a38131d72c
https://doi.org/10.1145/3308532.3329469
https://doi.org/10.1145/3308532.3329469
Autor:
Lucie Halodova, Tomas Krajnik, Eliška Dvořáková, Jiří Ulrich, Tomas Vintr, Keerthy Kusumam, Filip Majer
Publikováno v:
Modelling and Simulation for Autonomous Systems ISBN: 9783030149833
MESAS
MESAS
This paper concerns adaptive image processing for visual teach-and-repeat navigation systems of autonomous vehicles operating outdoors. The robustness and the accuracy of these systems rely on their ability to extract relevant information from the on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e8aa288fcc09461eb56fc93041f4ea
https://doi.org/10.1007/978-3-030-14984-0_34
https://doi.org/10.1007/978-3-030-14984-0_34
