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

D Jakab, BM Deegan, S Sharma… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …

End-to-end hybrid refractive-diffractive lens design with differentiable ray-wave model

X Yang, M Souza, K Wang, P Chakravarthula… - SIGGRAPH Asia 2024 …, 2024 - dl.acm.org
Hybrid refractive-diffractive lenses combine the light efficiency of refractive lenses with the
information encoding power of diffractive optical elements (DOE), showing great potential as …

A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization

CJ Ho, Y Belhe, S Rotenberg, R Ramamoorthi… - arXiv preprint arXiv …, 2024 - arxiv.org
End-to-end optimization, which simultaneously optimizes optics and algorithms, has
emerged as a powerful data-driven method for computational imaging system design. This …

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration

DW Wolf, A Braun, M Ulrich - arXiv preprint arXiv:2412.13695, 2024 - arxiv.org
'A trustworthy representation of uncertainty is desirable and should be considered as a key
feature of any machine learning method'(Huellermeier and Waegeman, 2021). This …

[PDF][PDF] TEXTURE CLASSIFICATION IN PETROLEUM IMAGING THROUGH NOVEL EXTRACTION METHODS

J Liu, X Wang, H Chen, M Zhang, L Li, Z Yang - researchgate.net
Texture classification in petroleum imaging plays a crucial role in analyzing geological
formations. This paper presents a set of innovative extraction methods aimed at enhancing …