Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Martin Glavin"'
Autor:
Joseph Clancy, Dara Molloy, Sean Hassett, James Leahy, Enda Ward, Patrick Denny, Edward Jones, Martin Glavin, Brian Deegan
Publikováno v:
Smart Cities, Vol 7, Iss 3, Pp 973-990 (2024)
Cellular Vehicle-to-Everything (C-V2X) communications is a technology that enables intelligent vehicles to exchange information and thus coordinate with other vehicles, road users, and infrastructure. However, despite advancements in cellular technol
Externí odkaz:
https://doaj.org/article/acd17844be1c4513a9346746ee8aa89c
Autor:
Dara Molloy, Patrick Muller, Brian Deegan, Darragh Mullins, Jonathan Horgan, Enda Ward, Edward Jones, Alexander Braun, Martin Glavin
Publikováno v:
IEEE Access, Vol 12, Pp 3554-3569 (2024)
Camera-based object detection is widely used in safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous vehicle research. Road infrastructure has been designed for human vision, so computer vision, with RGB camer
Externí odkaz:
https://doaj.org/article/638868651b0047b3a0e2a9013fa4cf93
Publikováno v:
Sensors, Vol 24, Iss 20, p 6614 (2024)
The selection of a target when training deep neural networks for speech enhancement is an important consideration. Different masks have been shown to exhibit different performance characteristics depending on the application and the conditions. This
Externí odkaz:
https://doaj.org/article/2e4a2e1879424eb99394cebc7ea992ee
Autor:
Hao Lin, Darragh Mullins, Dara Molloy, Enda Ward, Fiachra Collins, Patrick Denny, Martin Glavin, Brian Deegan, Edward Jones
Publikováno v:
Sensors, Vol 24, Iss 16, p 5135 (2024)
Camera-based object detection is integral to advanced driver assistance systems (ADAS) and autonomous vehicle research, and RGB cameras remain indispensable for their spatial resolution and color information. This study investigates exposure time opt
Externí odkaz:
https://doaj.org/article/ef8c7d8e0b4f4308b9f38d24f4d4135c
Autor:
Hao Lin, Ashkan Parsi, Darragh Mullins, Jonathan Horgan, Enda Ward, Ciaran Eising, Patrick Denny, Brian Deegan, Martin Glavin, Edward Jones
Publikováno v:
Journal of Imaging, Vol 10, Iss 7, p 153 (2024)
In recent years, significant advances have been made in the development of Advanced Driver Assistance Systems (ADAS) and other technology for autonomous vehicles. Automated object detection is a crucial component of autonomous driving; however, there
Externí odkaz:
https://doaj.org/article/a00655bb1f2c4159865e88b81815af46
Publikováno v:
Biomimetic Intelligence and Robotics, Vol 3, Iss 3, Pp 100115- (2023)
Early detection of vulnerable road users is a crucial requirement for autonomous vehicles to meet and exceed the object detection capabilities of human drivers. One of the most complex outstanding challenges is that of partial occlusion where a targe
Externí odkaz:
https://doaj.org/article/31abe73cb92e4e69a0470e9e9036b933
Autor:
Joseph Clancy, Darragh Mullins, Enda Ward, Patrick Denny, Edward Jones, Martin Glavin, Brian Deegan
Publikováno v:
IEEE Access, Vol 11, Pp 129124-129143 (2023)
Vehicle-to-Everything (V2X) communication technology aims to enhance intelligent vehicles’ coordination and perception by enabling interactions with other vehicles, road users, and infrastructure. Although 4th and 5th generation cellular technologi
Externí odkaz:
https://doaj.org/article/5cddf5f910c54493b93290f17ac6182d
Autor:
Joseph Clancy, Darragh Mullins, Brian Deegan, Jonathan Horgan, Enda Ward, Patrick Denny, Ciaran Eising, Edward Jones, Martin Glavin
Publikováno v:
IEEE Access, Vol 11, Pp 75269-75284 (2023)
Advancements in intelligent vehicles and Intelligent Transport Systems (ITS) have shown that they are now feasible in both technology and commerce. However, there are still significant challenges to overcome, particularly regarding the perception and
Externí odkaz:
https://doaj.org/article/af7322fddd184379a705786f77a1741e
Autor:
Tim Brophy, Darragh Mullins, Ashkan Parsi, Jonathan Horgan, Enda Ward, Patrick Denny, Ciaran Eising, Brian Deegan, Martin Glavin, Edward Jones
Publikováno v:
IEEE Access, Vol 11, Pp 67040-67057 (2023)
Automated vehicles rely heavily on image data from visible spectrum cameras to perform a wide range of tasks from object detection, classification, and avoidance to path planning. The availability and reliability of these sensors in adverse weather i
Externí odkaz:
https://doaj.org/article/48e00dd9bbfc42979a9eec8756204d05
Autor:
Jordan Cahill, Ashkan Parsi, Darragh Mullins, Jonathan Horgan, Enda Ward, Ciaran Eising, Patrick Denny, Brian Deegan, Martin Glavin, Edward Jones
Publikováno v:
IEEE Access, Vol 11, Pp 42302-42313 (2023)
In the field of autonomous driving, cameras are crucial sensors for providing information about a vehicle’s environment. Image quality refers to a camera system’s ability to capture, process, and display signals to form an image. Historically,
Externí odkaz:
https://doaj.org/article/9d26b3ef0f82444fa95d5313dce1297b