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pro vyhledávání: '"Röning Juha"'
Point cloud segmentation (PCS) aims to make per-point predictions and enables robots and autonomous driving cars to understand the environment. The range image is a dense representation of a large-scale outdoor point cloud, and segmentation models bu
Externí odkaz:
http://arxiv.org/abs/2408.01548
As autonomous vehicles continue to revolutionize transportation, addressing challenges posed by adverse weather conditions, particularly during winter, becomes paramount for ensuring safe and efficient operations. One of the most important aspects of
Externí odkaz:
http://arxiv.org/abs/2406.12370
Autor:
Wartiainen Anna-Mari, Harju Markus, Tamminen Satu, Määttä Leena, Alatarvas Tuomas, Röning Juha
Publikováno v:
Open Engineering, Vol 10, Iss 1, Pp 642-648 (2020)
Non-metallic inclusions, especially large or clustered inclusions, in steel are usually harmful. Thus, the microscopic analysis of test specimens is an important part of the quality control. This steel purity analysis produces a large amount of indiv
Externí odkaz:
https://doaj.org/article/ba1d050f2daa45fb964ddb9929f28c92
Publikováno v:
Open Engineering, Vol 10, Iss 1, Pp 386-393 (2020)
This article presents a statistical prediction model-based intelligent decision support tool for center line deviation monitoring. Data mining methods enable the data driven manufacturing. They also help to understand the manufacturing process and to
Externí odkaz:
https://doaj.org/article/b023563230aa4bbfadeb7c56acabdbad
Point cloud segmentation (PCS) plays an essential role in robot perception and navigation tasks. To efficiently understand large-scale outdoor point clouds, their range image representation is commonly adopted. This image-like representation is compa
Externí odkaz:
http://arxiv.org/abs/2405.10175
Autor:
Siirtola, Pekka, Röning, Juha
This article studies how to detect and explain concept drift. Human activity recognition is used as a case study together with a online batch learning situation where the quality of the labels used in the model updating process starts to decrease. Dr
Externí odkaz:
http://arxiv.org/abs/2301.08453
Semantic segmentation (SS) aims to classify each pixel into one of the pre-defined classes. This task plays an important role in self-driving cars and autonomous drones. In SS, many works have shown that most misclassified pixels are commonly near ob
Externí odkaz:
http://arxiv.org/abs/2203.08881
Autor:
Edelman, Harry, Stenroos, Joel, Peña Queralta, Jorge, Hästbacka, David, Oksanen, Jani, Westerlund, Tomi, Röning, Juha
Publikováno v:
Facilities, 2023, Vol. 41, Issue 15/16, pp. 85-100.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/F-11-2022-0146
The task allocation problem in multi-robot systems (MRTA) is an NP-hard problem whose viable solutions are usually found by heuristic algorithms. Considering the increasing need of improvement on logistics, the use of robots for increasing the effici
Externí odkaz:
http://arxiv.org/abs/2203.00119
Autor:
Ylianttila, Mika, Kantola, Raimo, Gurtov, Andrei, Mucchi, Lozenzo, Oppermann, Ian, Yan, Zheng, Nguyen, Tri Hong, Liu, Fei, Hewa, Tharaka, Liyanage, Madhusanka, Ijaz, Ahmad, Partala, Juha, Abbas, Robert, Hecker, Artur, Jayousi, Sara, Martinelli, Alessio, Caputo, Stefano, Bechtold, Jonathan, Morales, Ivan, Stoica, Andrei, Abreu, Giuseppe, Shahabuddin, Shahriar, Panayirci, Erdal, Haas, Harald, Kumar, Tanesh, Ozparlak, Basak Ozan, Röning, Juha
The roles of trust, security and privacy are somewhat interconnected, but different facets of next generation networks. The challenges in creating a trustworthy 6G are multidisciplinary spanning technology, regulation, techno-economics, politics and
Externí odkaz:
http://arxiv.org/abs/2004.11665