World Models for Autonomous Driving: An Initial Survey

arXiv:2403.02622v1 Announce Type: new
Abstract: In the rapidly evolving landscape of autonomous driving, the capability to accurately predict future events and assess their implications is paramount for both safety and efficiency, critically aiding the decision-making process. World models have emerged as a transformative approach, enabling autonomous driving systems to synthesize and interpret vast amounts of sensor data, thereby predicting potential future scenarios and compensating for information gaps. This paper provides an initial review of the current state and prospective advancements …

abstract arxiv autonomous autonomous driving autonomous driving systems capability cs.ai cs.lg cs.ro decision driving efficiency enabling events future landscape making process safety survey systems type world world models