Automated driving (AD) is promising, but the transition to fully autonomous driving is, among other things, subject to the real, ever-changing open world and the resulting challenges. However, research in the field of AD demonstrates the ability of artificial intelligence (AI) to outperform classical approaches, handle higher complexities, and reach a new level of autonomy. At the same time, the use of AI raises further questions of safety and transferability. To identify the challenges and opportunities arising from AI concerning autonomous driving functionalities, we have analyzed the current state of AD, outlined limitations, and identified foreseeable technological possibilities. Thereby, various further challenges are examined in the context of prospective developments. In this way, this article reconsiders fully autonomous driving with respect to advancements in the field of AI and carves out the respective needs and resulting research questions.

翻译：自动驾驶前景广阔，但向完全自动驾驶的过渡尤其受到真实、不断变化的开放世界及其带来的挑战所制约。然而，自动驾驶领域的研究表明，人工智能有能力超越传统方法，处理更高的复杂性，并达到新的自主水平。与此同时，人工智能的应用也引发了安全性和可迁移性等进一步问题。为识别人工智能在自动驾驶功能方面带来的挑战与机遇，我们分析了自动驾驶的现状，概述了其局限性，并识别了可预见的技术可能性。在此基础上，结合未来发展背景，本文审视了诸多其他挑战。由此，本文结合人工智能领域的进展重新思考了完全自动驾驶，并阐明了相应的需求及由此产生的研究问题。