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Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving

Autor: Manzoor, Anam, Singh, Aryan, Sistu, Ganesh, Mohandas, Reenu, Grua, Eoin, Scanlan, Anthony, Eising, Ciarán

Publikováno v: Proceedings of the Irish Machine Vision and Image Processing Conference 2024

This study investigates the effectiveness of modern Deformable Convolutional Neural Networks (DCNNs) for semantic segmentation tasks, particularly in autonomous driving scenarios with fisheye images. These images, providing a wide field of view, pose

Externí odkaz: http://arxiv.org/abs/2407.16647

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Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges

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

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Measuring Natural Scenes SFR of Automotive Fisheye Cameras

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

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