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 • 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.
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.
no code implementations • 19 Jan 2019 • Arindam Das, Saranya Kandan, Senthil Yogamani, Pavel Krizek
Semantic segmentation remains a computationally intensive algorithm for embedded deployment even with the rapid growth of computation power.
no code implementations • 11 Jan 2019 • Hazem Rashed, Senthil Yogamani, Ahmad El-Sallab, Pavel Krizek, Mohamed El-Helw
We also make use of the ground truth optical flow in Virtual KITTI to serve as an ideal estimator and a standard Farneback optical flow algorithm to study the effect of noise.