Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jonathan Horgan"'
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
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
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
Autor:
Ciarán Eising, Leroy‐Francisco Pereira, Jonathan Horgan, Anbuchezhiyan Selvaraju, John McDonald, Paul Moran
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 3, Pp 292-308 (2022)
Abstract It is well understood that in ADAS applications, a good estimate of the pose of the vehicle is required. This paper proposes a metaphorically named 2.5D odometry, whereby the planar odometry derived from the yaw rate sensor and four wheel sp
Externí odkaz:
https://doaj.org/article/6952f2740436431e988a7557abd2fd41
Autor:
Dara Molloy, Brian Deegan, Darragh Mullins, Enda Ward, Jonathan Horgan, Ciaran Eising, Patrick Denny, Edward Jones, Martin Glavin
Publikováno v:
Journal of Imaging, Vol 9, Iss 12, p 260 (2023)
In advanced driver assistance systems (ADAS) or autonomous vehicle research, acquiring semantic information about the surrounding environment generally relies heavily on camera-based object detection. Image signal processors (ISPs) in cameras are gen
Externí odkaz:
https://doaj.org/article/1984be66ad75423390950cd8348092e7
Autor:
Esteban Moreno, Patrick Denny, Enda Ward, Jonathan Horgan, Ciaran Eising, Edward Jones, Martin Glavin, Ashkan Parsi, Darragh Mullins, Brian Deegan
Publikováno v:
Sensors, Vol 23, Iss 5, p 2773 (2023)
Interacting with other roads users is a challenge for an autonomous vehicle, particularly in urban areas. Existing vehicle systems behave in a reactive manner, warning the driver or applying the brakes when the pedestrian is already in front of the v
Externí odkaz:
https://doaj.org/article/af729ba04ef24afc842cd31de7dd268a
Autor:
Lucie Yahiaoui, Jonathan Horgan, Brian Deegan, Senthil Yogamani, Ciarán Hughes, Patrick Denny
Publikováno v:
Journal of Imaging, Vol 5, Iss 10, p 78 (2019)
Image quality is a well understood concept for human viewing applications, particularly in the multimedia space, but increasingly in an automotive context as well. The rise in prominence of autonomous driving and computer vision brings to the fore re
Externí odkaz:
https://doaj.org/article/3e9e51a033d648a784637b4cd81d2f20
Publikováno v:
24th Irish Machine Vision and Image Processing Conference.
Scene categorization is a useful precursor task that provides prior knowledge for many advanced computer vision tasks with a broad range of applications in content-based image indexing and retrieval systems. Despite the success of data driven approac