Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
Yu Shen,Laura Zheng,Tianyi Zhou,Ming C. Lin,Yu Shen,Laura Zheng,Tianyi Zhou,Ming C. Lin
Environments for autonomous driving can vary from place to place, leading to challenges in designing a learning model for a new scene. Transfer learning can leverage knowledge from a learned domain to a new domain with limited data. In this work, we focus on end-to-end autonomous driving as the target task, consisting of both perception and control. We first utilize information bottleneck analysis...
