Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Michal R. Nowicki"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:1079-1086
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor. The existing solutions to this problem include hand-crafted point cloud descriptors (e.g.,
Publikováno v:
2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).
Autor:
Mikolaj Lysakowski, Michal R. Nowicki, Russell Buchanan, Marco Camurri, Maurice Fallon, Krzysztof Walas
Haptic sensing has recently been used effectively for legged robot localization in extreme scenarios where cam-eras and LiDAR might fail, such as dusty mines and foggy sewers. However, existing haptic sensing mainly relies on supervised classificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f2988468e16a5df5f96d62f434c241a
https://ora.ox.ac.uk/objects/uuid:5729c2b2-23f5-4df5-b775-e2b595bf3c65
https://ora.ox.ac.uk/objects/uuid:5729c2b2-23f5-4df5-b775-e2b595bf3c65
Autor:
Buchanan, Russell, Bednarek, Jakub, Camurri, Marco, Nowicki, Michał R., Walas, Krzysztof, Fallon, Maurice
Publikováno v:
Autonomous Robots; Sep2021, Vol. 45 Issue 6, p843-857, 15p
Autor:
Amina Adadi, Afaf Bouhoute
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of a
This book presents the scientific outcomes of the International Conference AUTOMATION 2020, held on March 18–20, 2020 in Warsaw, Poland. The next 30 years will see radical innovations in production processes, transportation management and social li
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