Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Nataliya Strokina"'
Publikováno v:
Frontiers in Signal Processing, Vol 3 (2023)
Automotive radars allow for perception of the environment in adverse visibility and weather conditions. New high-resolution sensors have demonstrated potential for tasks beyond obstacle detection and velocity adjustment, such as mapping or target tra
Externí odkaz:
https://doaj.org/article/041d86681ebb46b8a90c4a19ea9435c2
Autor:
Nataliya Strokina, Wenyan Yang, Joni Pajarinen, Nikolay Serbenyuk, Joni Kämäräinen, Reza Ghabcheloo
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
One of the key challenges in implementing reinforcement learning methods for real-world robotic applications is the design of a suitable reward function. In field robotics, the absence of abundant datasets, limited training time, and high variation o
Externí odkaz:
https://doaj.org/article/d35ff4da181c4ea7a061c279c46d616c
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).
In this paper, we evaluate eight popular and open-source 3D Lidar and visual SLAM (Simultaneous Localization and Mapping) algorithms, namely LOAM, Lego LOAM, LIO SAM, HDL Graph, ORB SLAM3, Basalt VIO, and SVO2. We have devised experiments both indoor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f798164d15e553beee1fd08df95989
https://doi.org/10.23919/fusion49751.2022.9841323
https://doi.org/10.23919/fusion49751.2022.9841323
Autor:
Nikolay Serbenyuk, Juho Vihonen, Joni Pajarinen, Reza Ghabcheloo, Nataliya Strokina, Joni-Kristian Kamarainen, Wenyan Yang, Mohammad M. Aref
Publikováno v:
ICRA
We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2]. In the field experiments the RF controller obtained clearly better success rates. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::925377f958ab684280e9b738fc556b87
https://trepo.tuni.fi/handle/10024/143388
https://trepo.tuni.fi/handle/10024/143388
Autor:
Atakan Dag, Alexandre Angleraud, Wenyan Yang, Nataliya Strokina, Roel S. Pieters, Minna Lanz, Joni-Kristian Kamarainen
Simulation to real (Sim-to-Real) is an attractive approach to construct controllers for robotic tasks that are easier to simulate than to analytically solve. Working Sim-to-Real solutions have been demonstrated for tasks with a clear single objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeccac5f4e0a3c0115f52b3423bab5c0
https://trepo.tuni.fi/handle/10024/143387
https://trepo.tuni.fi/handle/10024/143387
Publikováno v:
ICRA
This work introduces a learning-based pile loading controller for autonomous robotic wheel loaders. Controller parameters are learnt from a small number of demonstrations for which low level sensor (boom angle, bucket angle and hydrostatic driving pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed18854adf3800c4b2b26484edba1660
https://trepo.tuni.fi/handle/10024/143384
https://trepo.tuni.fi/handle/10024/143384
Autor:
Joni-Kristian Kamarainen, Ke Chen, Juan Fran Fuentes-Perez, Maarja Kruusmaa, Gert Toming, Jeffrey A. Tuhtan, Nataliya Strokina, Mark Musall
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 66:651-660
The time-averaged velocity of water flow is the most commonly measured metric for both laboratory and field applications. Its employment in scientific and engineering studies often leads to an oversimplification of the underlying flow physics. In rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::273b74047099798cd786434acc44c176
https://doi.org/10.1109/tim.2017.2658278
https://doi.org/10.1109/tim.2017.2658278
Publikováno v:
Pattern Recognition and Image Analysis. 26:630-637
Material flow characterization is important in the process industries and its further automation. In this study, close-to-laminar pulp suspension flows are analyzed based on double-exposure images captured in laboratory conditions. The correlation-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3c4207b62febb3eef1a4ddec017bcf9
https://doi.org/10.1134/s1054661816030196
https://doi.org/10.1134/s1054661816030196
Autor:
Jeffrey A. Tuhtan, Juan Francisco Fuentes-Pérez, Nataliya Strokina, Maarja Kruusmaa, Joni-Kristian Kamarainen
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 65:601-613
Measurement of complex natural flows, especially those occurring in rivers due to man-made structures, is often hampered by the limitations of existing flow measurement methods. Furthermore, there is a growing need for new measurement devices that ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71e723c79b0b728f0d35c035d6d66e6a
https://doi.org/10.1109/tim.2015.2499019
https://doi.org/10.1109/tim.2015.2499019
Publikováno v:
Machine Vision and Applications. 24:869-881
One important aspect of assessing the quality in pulp and papermaking is dirt particle counting and classifica- tion. Knowing the number and types of dirt particles present in pulp is useful for detecting problems in the production process as early a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fc086339e3e401de314899b553b4d69
https://doi.org/10.1007/s00138-013-0485-1
https://doi.org/10.1007/s00138-013-0485-1