AI让自动驾驶迈向全自主，但安全与泛化仍是关键挑战。
Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs
- 用AI替代传统方法，提升复杂环境下的决策能力
- 现有技术仍难保证安全性和跨场景迁移能力
- 适合关注自动驾驶未来方向的研究者与工程师
自动驾驶（AD）前景广阔，但向全自主驾驶的过渡面临开放世界动态变化带来的多重挑战。当前研究显示，人工智能（AI）在处理更高复杂度任务、超越传统方法方面展现出显著优势，推动自动驾驶迈向新阶段。然而，AI的应用也引发了对安全性与跨场景迁移能力的新疑问。本文分析了当前自动驾驶的发展状态，梳理了技术瓶颈，并展望了未来可行的技术路径。在此基础上，深入探讨了前瞻性发展中的各类挑战，重新审视了全自主驾驶在AI进步背景下的需求与亟待解决的研究问题。
原文摘要 · Abstract (English)
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.
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