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Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenge
Feb. 20, 2024, 5:48 a.m. | Daniel Jakab, Brian Michael Deegan, Sushil Sharma, Eoin Martino Grua, Jonathan Horgan, Enda Ward, Pepijn Van De Ven, Anthony Scanlan, Ciaran Eising
cs.CV updates on arXiv.org arxiv.org
Abstract: 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-art computer vision to enhance road safety and provide automated driving functionality. When using camera systems on vehicles, there is a particular need for a wide field of view to capture the entire vehicle's surroundings, in areas such …
abstract adas advanced art arxiv automotive autonomous autonomous driving challenge computer computer vision cs.cv driving eess.iv impact industry optical optics paper road safety safety simulation state survey tasks type view vision
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