Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Gustavo Velasco-Hernandez"'
Publikováno v:
Sensors, Vol 22, Iss 15, p 5836 (2022)
The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. However, as the industrial world is currently in its initial stage of adopting full-stack development s
Externí odkaz:
https://doaj.org/article/716b84a5e5914704a7c91b5fe688884a
Publikováno v:
Sensors, Vol 21, Iss 6, p 2140 (2021)
With the significant advancement of sensor and communication technology and the reliable application of obstacle detection techniques and algorithms, automated driving is becoming a pivotal technology that can revolutionize the future of transportati
Externí odkaz:
https://doaj.org/article/0d4a13ce4f1b4c278c758624703783d5
Autor:
Niall O' Mahony, Lenka Krpalkova, Anderson Carvalho, Gustavo Velasco Hernandez, Daniel Riordan, Sean Campbell, Joseph Walsh, Suman Harapanahalli
Publikováno v:
Procedia Manufacturing. 38:186-193
Deep Learning has great achievements in computer vision for various classification and regression tasks. The automation of tasks such as component sorting, bin-picking and anomaly detection may be of great use in the process industry. However, most m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ebb70128e9a7643b498b0658ee615c
https://doi.org/10.1016/j.promfg.2020.01.025
https://doi.org/10.1016/j.promfg.2020.01.025
Autor:
Suman Harapanahalli, Gustavo Velasco Hernandez, Joseph Walsh, Sean Campbell, Niall O' Mahony, Daniel Riordan
Publikováno v:
Procedia Manufacturing. 38:1524-1531
Navigating through unstructured environments is a basic capability of intelligent creatures, and thus is of fundamental interest in this research. Navigation is a complex task that relies on developing an internal representation of space, grounded by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::080f494e1e43734515d1bea84b7255bd
https://doi.org/10.1016/j.promfg.2020.01.134
https://doi.org/10.1016/j.promfg.2020.01.134
Autor:
Anderson Carvalho, Sean Campbell, Joseph Walsh, Gustavo Velasco-Hernandez, Daniel Riordan, Niall O'Mahony, Lenka Krpalkova
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030551797
IntelliSys (1)
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-Intelligent Systems and Applications
IntelliSys (1)
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-Intelligent Systems and Applications
Deep Metric Learning (DML) approaches learn to represent inputs to a lower-dimensional latent space such that the distance between representations in this space corresponds with a predefined notion of similarity. This paper investigates how the mappi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd5116d6117d4bdf12e7da669088f07
Publikováno v:
ICCP
2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)
2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)
Over the last 10 years, huge advances have been made in the areas of sensor technologies and processing platforms, pushing forward developments in the field of autonomous vehicles, mostly represented by self-driving cars. However, the complexity of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb52e9e1212ec7dca679bdf75810272
https://doi.org/10.1109/iccp51029.2020.9266268
https://doi.org/10.1109/iccp51029.2020.9266268
Autor:
Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Suman Harapanahalli, Gustavo Velasco-Hernandez, Niall O' Mahony, Joseph Walsh, Daniel Riordan
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030177942
Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06e02d3262758114fb68546498e0ed6e
https://doi.org/10.1007/978-3-030-17795-9
https://doi.org/10.1007/978-3-030-17795-9
Publikováno v:
2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)
ICCP
ICCP
Intersections or junctions are critical points in transportation systems due to their dynamic behavior, making them prone to safety or efficiency problems. For this reason, the use of technology in monitoring intersections has increased over the last
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e05ae134ce384cc72d5393ad50dc97da
Autor:
Sean Campbell, Lenka Krpalkova, Niall O'Mahony, Anderson Carvalho, Daniel Riordan, Joseph Walsh, Suman Harapanahalli, Gustavo Velasco Hernandez
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030177942
CVC (1)
CVC (1)
Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b00d4b9f0db9a7d4c192507b57af9d4
https://doi.org/10.1007/978-3-030-17795-9_10
https://doi.org/10.1007/978-3-030-17795-9_10
Autor:
Daniel Riordan, Suman Harapanahalli, Anderson Carvalho, Gustavo Velasco-Hernandez, Joseph Walsh, Sean Campbell, Niall O'Mahony
Publikováno v:
WF-IoT
Mobile robots can be integrated as an entity in the new paradigm of the Internet of Things (IoT) and can be instrumental in extending sensing and manipulation capabilities to remote environments where the installation of sensor networks is unfeasible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdc69f1e1a6176bc6c6d84a3615a04de
https://doi.org/10.1109/wf-iot.2019.8767330
https://doi.org/10.1109/wf-iot.2019.8767330