Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Kanarachos, Stratis"'
Autor:
Onyekpe, Uche, Szkolnik, Alicja, Palade, Vasile, Kanarachos, Stratis, Fitzpatrick, Michael E.
This paper proposes a transfer learning approach to recalibrate our previously developed Wheel Odometry Neural Network (WhONet) for vehicle positioning in environments where Global Navigation Satellite Systems (GNSS) are unavailable. The WhONet has b
Externí odkaz:
http://arxiv.org/abs/2209.05877
Autor:
Onyekpe, Uche, Palade, Vasile, Herath, Anuradha, Kanarachos, Stratis, Fitzpatrick, Michael E.
Publikováno v:
Engineering Applications of Artificial Intelligence, 2021
In this paper, a deep learning approach is proposed to accurately position wheeled vehicles in Global Navigation Satellite Systems (GNSS) deprived environments. In the absence of GNSS signals, information on the speed of the wheels of a vehicle (or o
Externí odkaz:
http://arxiv.org/abs/2104.02581
An algorithm based on Artificial Neural Networks is proposed in this paper to improve the accuracy of Inertial Navigation System (INS)/ Global Navigation Satellite System (GNSS) integrated navigation during the absence of GNSS signals. The INS which
Externí odkaz:
http://arxiv.org/abs/2010.02363
Publikováno v:
Data in Brief, 2021
Low-cost inertial navigation sensors (INS) can be exploited for a reliable tracking solution for autonomous vehicles. However, position errors grow exponentially due to noises in the measurements. Several deep learning techniques have been investigat
Externí odkaz:
http://arxiv.org/abs/2005.01701
Over the past decade, several researchers have presented various optimisation algorithms for use in truss design. The no free lunch theorem implies that no optimisation algorithm fits all problems; therefore, the interest is not only in the accuracy
Externí odkaz:
http://arxiv.org/abs/1909.11143
Safety is an essential aspect in the facilitation of automated vehicle deployment. Current testing practices are not enough, and going beyond them leads to infeasible testing requirements, such as needing to drive billions of kilometres on public roa
Externí odkaz:
http://arxiv.org/abs/1907.05364
Autor:
Kanarachos, Stratis, Ramadhan, Ranggi S., Kockelmann, Winfried, Venetsanos, Demetrios, Tremsin, Anton.S., Fitzpatrick, Michael E.
Publikováno v:
In Measurement 15 November 2022 203
Autor:
Sehmi, Maninder, Christensen, Jesper, Bastien, Christophe, Wilson, Alexis, Kanarachos, Stratis
Publikováno v:
In Advances in Engineering Software May 2020 143
Publikováno v:
In Applied Ergonomics July 2019 78:54-61
Publikováno v:
In Expert Systems With Applications 15 April 2019 120:436-447