Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Nikos Piperigkos"'
Autor:
Nikos Piperigkos, Alexandros Gkillas, Gerasimos Arvanitis, Stavros Nousias, Aris Lalos, Apostolos Fournaris, Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Konstantinos Moustakas
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Cyber–physical systems (CPSs) are evolving from individual systems to collectives of systems that collaborate to achieve highly complex goals, realizing a cyber–physical system of systems (CPSoSs) approach. They are heterogeneous systems comprisi
Externí odkaz:
https://doaj.org/article/f50e3791084a4c2c80cd4d0a66cb148f
Autor:
Christian Vitale, Nikos Piperigkos, Christos Laoudias, Georgios Ellinas, Jordi Casademont, Josep Escrig, Andreas Kloukiniotis, Aris S. Lalos, Konstantinos Moustakas, Rodrigo Diaz Rodriguez, Daniel Baños, Gemma Roqueta Crusats, Petros Kapsalas, Klaus-Peter Hofmann, Pouria Sayyad Khodashenas
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-28 (2021)
Abstract The main goal of the H2020-CARAMEL project is to address the cybersecurity gaps introduced by the new technological domains adopted by modern vehicles applying, among others, advanced Artificial Intelligence and Machine Learning techniques.
Externí odkaz:
https://doaj.org/article/bbbe98f4f80e48eca6b9464c620cf83f
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Cooperative, Connected and Automated Mobility will enable the close coordination of actions between vehicles, road users and traffic infrastructures, resulting in profound socioeconomic impacts. In this context, location and yaw angle of vehicles is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e0f9513512e1243dff7ea2cab023fa8
Autor:
Aris S. Lalos, Nikos Piperigkos
Publikováno v:
Transportation Research Procedia
Electric vehicles (EVs) gain great attention nowadays since the electrification of private and public transport has a great potential to reduce greenhouse gas emissions and mitigate oil dependency. However, the influx of a large number of electrical
Publikováno v:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
Autor:
Efstratios Kontopoulos, Gerasimos Arvanitis, Alessandro Zanella, Panagiotis Mitzias, Evangelia I. Zacharaki, Pavlos Kosmides, Nikos Piperigkos, Konstantinos Moustakas, Aris S. Lalos
Publikováno v:
The Semantic Web: ESWC 2022 Satellite Events ISBN: 9783031116087
This paper presents a novel semantic data integration framework for monitoring and safeguarding the ergonomics of human operators during a collaborative assembly task in an automotive manufacturing environment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41638c0396423fc6bf4c7c199777feee
https://doi.org/10.1007/978-3-031-11609-4_46
https://doi.org/10.1007/978-3-031-11609-4_46
Autor:
Mohsin Kamal, Christos Kyrkou, Nikos Piperigkos, Andreas Papandreou, Andreas Kloukiniotis, Jordi Casademont, Natlia Porras Mateu, Daniel Baos Castillo, Rodrigo Diaz Rodriguez, Nicola Gregorio Durante, Peter Hofmann, Petros Kapsalas, Aris S. Lalos, Konstantinos Moustakas, Christos Laoudias, Theocharis Theocharides, Georgios Ellinas
Publikováno v:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baf29cbfaced1633b2a7ab6175a4ae00
https://hdl.handle.net/2117/374729
https://hdl.handle.net/2117/374729
In this paper, we design distributed multi-modal localization approaches for Connected and Automated vehicles. We utilize information diffusion on graphs formed by moving vehicles, based on Adapt-then-Combine strategies combined with the Least-Mean-S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f6d9efe58e4f6131f85377a689141f0
Autor:
Petros Kapsalas, Rodrigo Diaz Rodriguez, Aris S. Lalos, Georgios Ellinas, Nikos Piperigkos, Gemma Roqueta Crusats, Christos Laoudias, Pouria Sayyad Khodashenas, Daniel Baños, Konstantinos Moustakas, Andreas Kloukiniotis, Josep Escrig, Klaus-Peter Hofmann, Jordi Casademont, Christian Vitale
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
EURASIP Journal on Wireless Communications and Networking
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-28 (2021)
Universitat Politècnica de Catalunya (UPC)
EURASIP Journal on Wireless Communications and Networking
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-28 (2021)
The main goal of the H2020-CARAMEL project is to address the cybersecurity gaps introduced by the new technological domains adopted by modern vehicles applying, among others, advanced Artificial Intelligence and Machine Learning techniques. As a resu