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Akademický článek
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Autor:
Jakab, Daniel, Braun, Alexander, Agnew, Cathaoir, Mohandas, Reenu, Deegan, Brian Michael, Molloy, Dara, Ward, Enda, Scanlan, Tony, Eising, Ciarán
Publikováno v:
Proceedings of the Irish Machine Vision and Image Processing Conference 2024
Automotive simulation can potentially compensate for a lack of training data in computer vision applications. However, there has been little to no image quality evaluation of automotive simulation and the impact of optical degradations on simulation
Externí odkaz:
http://arxiv.org/abs/2407.15646
Akademický článek
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Autor:
Atha, Deegan, Swan, R. Michael, Cauligi, Abhishek, Bettens, Anne, Goh, Edwin, Kogan, Dima, Matthies, Larry, Ono, Masahiro
The ability to determine the pose of a rover in an inertial frame autonomously is a crucial capability necessary for the next generation of surface rover missions on other planetary bodies. Currently, most on-going rover missions utilize ground-in-th
Externí odkaz:
http://arxiv.org/abs/2405.01673
Autor:
Frey, Jonas, Patel, Manthan, Atha, Deegan, Nubert, Julian, Fan, David, Agha, Ali, Padgett, Curtis, Spieler, Patrick, Hutter, Marco, Khattak, Shehryar
Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only. The extreme conditions posed by the off-road setting can cause degraded camera image qualit
Externí odkaz:
http://arxiv.org/abs/2402.19341
Autor:
Jakab, Daniel, Deegan, Brian Michael, Sharma, Sushil, Grua, Eoin Martino, Horgan, Jonathan, Ward, Enda, Van De Ven, Pepijn, Scanlan, Anthony, Eising, Ciarán
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 2024
In this paper, we provide a survey on automotive surround-view fisheye optics, with an emphasis on the impact of optical artifacts on computer vision tasks in autonomous driving and ADAS. The automotive industry has advanced in applying state-of-the-
Externí odkaz:
http://arxiv.org/abs/2402.12041
Autor:
Jakab, Daniel, Grua, Eoin Martino, Deegan, Brian Micheal, Scanlan, Anthony, Van De Ven, Pepijn, Eising, Ciarán
The Modulation Transfer Function (MTF) is an important image quality metric typically used in the automotive domain. However, despite the fact that optical quality has an impact on the performance of computer vision in vehicle automation, for many pu
Externí odkaz:
http://arxiv.org/abs/2401.05232
Autor:
KIMBALL, JIM
Publikováno v:
Motocross Action Magazine; Aug2023, Vol. 51 Issue 8, p66-71, 6p, 7 Color Photographs, 1 Black and White Photograph
Autor:
Jozef Michal Mintal, Kamila Borseková, Lorenzo Cicchi, Vladimír Müller, Róbert Vancel, Patrícia Šimková, Kevin Deegan-Krause
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Three decades after the fall of socialist regimes in Central Europe, the successes of democratic transition face threats from broader trends toward skepticism, disengagement and distrust across Europe, though perhaps more intensively in the
Externí odkaz:
https://doaj.org/article/1e6bd19dda3242ef8fbc487697f84378
Autor:
Cauligi, Abhishek, Swan, R. Michael, Ono, Masahiro, Daftry, Shreyansh, Elliott, John, Matthies, Larry, Atha, Deegan
There has been an increase in interest in missions that drive significantly longer distances per day than what has currently been performed. Further, some of these proposed missions require autonomous driving and absolute localization in darkness. Fo
Externí odkaz:
http://arxiv.org/abs/2301.04630