Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Michal Uricar"'
Publikováno v:
ITSC
Manual annotation of soiling on surround view cameras is a very challenging and expensive task. The unclear boundary for various soiling categories like water drops or mud particles usually results in a large variance in the annotation quality. As a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8939570dac3cf1e537cbd47d092bf81b
Let’s Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving
Autor:
Fabian Burger, Hazem Rashed, Antonin Vobecky, Pavel Krizek, Senthil Yogamani, Michal Uricar, Ganesh Sistu, Varun Ravi Kumar
Publikováno v:
WACV
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:
https://explore.openaire.eu/search/publication?articleId=doi_________::756d8e6015674251862f903447cc8a5c
https://doi.org/10.1109/wacv48630.2021.00081
https://doi.org/10.1109/wacv48630.2021.00081
Autor:
Arindam Das, Senthil Yogamani, Varun Ravi Kumar, Sankaralingam Madasamy, Ganesh Sistu, Fabian Burger, Pavel Krizek, Michal Uricar
Publikováno v:
ITSC
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad8a65dfed675627632fc8a92c657f41
http://arxiv.org/abs/2007.00801
http://arxiv.org/abs/2007.00801
Autor:
Pavel Krizek, David Hurych, Michal Uricar, Senthil Yogamani, Jan Ulicny, Antonin Vobecky, Hazem Rashed, Ganesh Sistu
Publikováno v:
ICCV Workshops
Surround-view cameras became an integral part of autonomous driving setup. Being directly exposed to harsh environmental settings, they can get soiled easily. When cameras get soiled, the degradation of performance is usually more dramatic compared t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38aefb6acacb376aa00de9a8c95d14ce
https://doi.org/10.1109/iccvw.2019.00526
https://doi.org/10.1109/iccvw.2019.00526
Publikováno v:
ITSC
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7858b2fb3408dd72d8c1eea2ff0eedcb
http://arxiv.org/abs/1905.01492
http://arxiv.org/abs/1905.01492
Autor:
Christian Witt, Ganesh Sistu, Derek O'Dea, Patrick Pérez, Saquib Mansoor, Karl Amende, Xavier Perrotton, Sumanth Chennupati, Hazem Rashed, Michal Uricar, Senthil Yogamani, Jonathan Horgan, Stefan Milz, Padraig Varley, Martin Simon, Sanjaya Nayak, Ciaran Hughes
Publikováno v:
ICCV
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence, there are few public datasets for detailed evaluation of computer vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b3928bd1f3aac0285abed867b6588d
Publikováno v:
ICCV Workshops
In this paper we describe a tracker of facial landmarks submitted to the 300 Videos in the Wild (300-VW) challenge. Our tracker is a straightforward extension of a well tuned tree-based DPM landmark detector originally developed for static images. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ba8367d6d26b23879531b87da14930
https://doi.org/10.1109/iccvw.2015.127
https://doi.org/10.1109/iccvw.2015.127
Publikováno v:
FG
While the problem of facial landmark detection is getting big attention in the computer vision community recently, most of the methods deal only with near-frontal views and there is only a few really multi-view detectors available, that are capable o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71c39c7a19b3707555feefe16e1f448
https://doi.org/10.1109/fg.2015.7284810
https://doi.org/10.1109/fg.2015.7284810
Publikováno v:
Scopus-Elsevier
VISIGRAPP (5: VISAPP)
VISIGRAPP (5: VISAPP)
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ed5eb1873edf11e464394c49575ceb
http://www.scopus.com/inward/record.url?eid=2-s2.0-85068536909&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85068536909&partnerID=MN8TOARS