Level-5 Autonomous Driving—Are We There Yet? A Review of Research Literature

M. A. Khan, Hesham El Sayed, Sumbal Malik, Talha Zia, Jalal Khan, Najla Alkaabi, H. Ignatious
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引用次数: 27

Abstract

Autonomous vehicles are revolutionizing transport and next-generation autonomous mobility. Such vehicles are promising to increase road safety, improve traffic efficiency, reduce vehicle emission, and improve mobility. However, for these vehicles to live up to their full potentials, there are significant research, technological and urgent organizational issues that need to be addressed to reach the highest level of automation, i.e., level 5. Sensors, communication, mobile edge computing, machine learning, data analytic, distributed learning, and so on, are examples of the building blocks technologies and concepts constituting the end-to-end solution. This survey discusses these technologies and concepts and maps their roles to the end-to-end solution. It highlights the challenges for each technology. Moreover, this survey provides an analysis of different solution approaches proposed by relevant stakeholders, utilizing these technologies aiming to achieve level-5 autonomy. Finally, the article details two use cases to present the interplay of the building blocks technologies.
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5级自动驾驶——我们到达了吗?研究文献综述
自动驾驶汽车正在彻底改变交通和下一代自动驾驶汽车。这些车辆有望增加道路安全,提高交通效率,减少车辆排放,提高机动性。然而,为了使这些车辆充分发挥其潜力,需要解决重大的研究、技术和紧迫的组织问题,以达到最高的自动化水平,即5级。传感器、通信、移动边缘计算、机器学习、数据分析、分布式学习等等,都是构成端到端解决方案的构建模块技术和概念的例子。本文讨论了这些技术和概念,并将它们的角色映射到端到端解决方案。它突出了每种技术面临的挑战。此外,本调查还分析了相关利益相关者提出的利用这些技术实现5级自治的不同解决方案。最后,本文将详细介绍两个用例,以展示构建块技术的相互作用。
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