Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Krizek, Pavel"'
Autor:
Das, Arindam, Krizek, Pavel, Sistu, Ganesh, Burger, Fabian, Madasamy, Sankaralingam, Uricar, Michal, Kumar, Varun Ravi, Yogamani, Senthil
Automotive cameras, particularly surround-view cameras, tend to get soiled by mud, water, snow, etc. For higher levels of autonomous driving, it is necessary to have a soiling detection algorithm which will trigger an automatic cleaning system. Local
Externí odkaz:
http://arxiv.org/abs/2007.00801
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving
Autor:
Uricar, Michal, Sistu, Ganesh, Rashed, Hazem, Vobecky, Antonin, Kumar, Varun Ravi, Krizek, Pavel, Burger, Fabian, Yogamani, Senthil
Wide-angle fisheye cameras are commonly used in automated driving for parking and low-speed navigation tasks. Four of such cameras form a surround-view system that provides a complete and detailed view of the vehicle. These cameras are directly expos
Externí odkaz:
http://arxiv.org/abs/1912.02249
Cameras are an essential part of sensor suite in autonomous driving. Surround-view cameras are directly exposed to external environment and are vulnerable to get soiled. Cameras have a much higher degradation in performance due to soiling compared to
Externí odkaz:
http://arxiv.org/abs/1905.01492
Autor:
Uricar, Michal, Krizek, Pavel, Hurych, David, Sobh, Ibrahim, Yogamani, Senthil, Denny, Patrick
Generative Adversarial Networks (GAN) have gained a lot of popularity from their introduction in 2014 till present. Research on GAN is rapidly growing and there are many variants of the original GAN focusing on various aspects of deep learning. GAN a
Externí odkaz:
http://arxiv.org/abs/1902.03442
Autonomous driving is getting a lot of attention in the last decade and will be the hot topic at least until the first successful certification of a car with Level 5 autonomy. There are many public datasets in the academic community. However, they ar
Externí odkaz:
http://arxiv.org/abs/1901.09270
Semantic segmentation remains a computationally intensive algorithm for embedded deployment even with the rapid growth of computation power. Thus efficient network design is a critical aspect especially for applications like automated driving which r
Externí odkaz:
http://arxiv.org/abs/1901.06580
Motion is a dominant cue in automated driving systems. Optical flow is typically computed to detect moving objects and to estimate depth using triangulation. In this paper, our motivation is to leverage the existing dense optical flow to improve the
Externí odkaz:
http://arxiv.org/abs/1901.07355
Autor:
Křížek, Pavel
Publikováno v:
Studia Logica: An International Journal for Symbolic Logic, 1978 Jan 01. 37(1), 115-128.
Externí odkaz:
https://www.jstor.org/stable/20014887
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.