Traffic sign identification using camera images from vehicles plays a critical role in autonomous driving and path planning. However, the front camera ...

Nov 15, 2019 · The proposed method enables mapping training data from one domain to another, thereby improving traffic sign detection precision/recall from ...

In this work, we present an end-to-end framework to augment traffic sign training data using optimal reinforcement learning policies and a variety of Generative ...

Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images.

Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images, Sohini Roy Chowdhury, Lars ...

Publications. Publications (2). Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images.

Traffic sign identification using camera images from vehicles plays a critical role in autonomous driving and path planning. Autonomous Driving · Generative ...

Automated augmentation with reinforcement learning and GANs for robust identification of traffic signs using front camera images. SR Chowdhury, L Tornberg, R ...

Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images · S. ChowdhuryLars Tornberg + ...

May 11, 2021 · In this post, we discuss how GANs can help in creation of synthetic data. The key principle is: A GAN when tuned, is capable of discerning the underlying ...