collaborators

7 papers

cs.CV2020

TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric

Arindam Das, Pavel Krizek, Ganesh Sistu +5

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 dete…

cs.CV2019

Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving

Michal Uricar, Ganesh Sistu, Hazem Rashed +5

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 compl…

cs.CV2019

SoilingNet: Soiling Detection on Automotive Surround-View Cameras

Michal Uricar, Pavel Krizek, Ganesh Sistu +1

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 ha…

cs.CV2019

Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving

Michal Uricar, Pavel Krizek, David Hurych +3

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 o…

cs.CV2019

Challenges in Designing Datasets and Validation for Autonomous Driving

Michal Uricar, David Hurych, Pavel Krizek +1

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. Ther…

cs.CV2019

Design of Real-time Semantic Segmentation Decoder for Automated Driving

Arindam Das, Saranya Kandan, Senthil Yogamani +1

Semantic segmentation remains a computationally intensive algorithm for embedded deployment even with the rapid growth of computation power. Thus efficient network design is a crit…