no code implementations • 17 May 2021 • Michal Uricar, Ganesh Sistu, Lucie Yahiaoui, Senthil Yogamani
Manual annotation of soiling on surround view cameras is a very challenging and expensive task.
no code implementations • 1 Jul 2020 • Arindam Das, Pavel Krizek, Ganesh Sistu, Fabian Burger, Sankaralingam Madasamy, Michal Uricar, Varun Ravi Kumar, Senthil Yogamani
Localized detection of soiling in an image is necessary to control the cleaning system.
no code implementations • 23 Dec 2019 • Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricar, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciaran Hughes, Senthil Yogamani
We provide a holistic overview of an industrial system covering the embedded system, use cases and the deep learning architecture.
no code implementations • 4 Dec 2019 • Michal Uricar, Ganesh Sistu, Hazem Rashed, Antonin Vobecky, Varun Ravi Kumar, Pavel Krizek, Fabian Burger, Senthil Yogamani
We propose a novel GAN based algorithm for generating unseen patterns of soiled images.
no code implementations • 4 May 2019 • Michal Uricar, Pavel Krizek, Ganesh Sistu, Senthil Yogamani
Cameras are an essential part of sensor suite in autonomous driving.
1 code implementation • ICCV 2019 • Senthil Yogamani, Ciaran Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uricar, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perroton, Patrick Perez
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications.
no code implementations • 9 Feb 2019 • Michal Uricar, Pavel Krizek, David Hurych, Ibrahim Sobh, Senthil Yogamani, Patrick Denny
Generative Adversarial Networks (GAN) have gained a lot of popularity from their introduction in 2014 till present.
no code implementations • 26 Jan 2019 • Michal Uricar, David Hurych, Pavel Krizek, Senthil Yogamani
There is a large gap between academic and industrial setting and a substantial way from a research prototype, built on public datasets, to a deployable solution which is a challenging task.