Adversarial Robustness in Lane Detection For Autonomous Vehicles Using Generative Adversarial Networks
This research investigates the adversarial robustness of lane detection for Autonomous Vehicles (AVs) under challenging driving conditions using Generative Adversarial Networks (GANs). In this work, the term adversarial refers to the adversarial training mechanism of GANs and to robustness under naturally adverse drivi...