4D mmWave Radar for Autonomous Driving Perception: A Comprehensive Survey

IF 14 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Intelligent Vehicles Pub Date : 2024-03-21 DOI:10.1109/TIV.2024.3380244

Lili Fan;Junhao Wang;Yuanmeng Chang;Yuke Li;Yutong Wang;Dongpu Cao

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Abstract

The rapid development of autonomous driving technology has driven continuous innovation in perception systems, with 4D millimeter-wave (mmWave) radar being one of the key sensing devices. Leveraging its all-weather operational characteristics and robust perception capabilities in challenging environments, 4D mmWave radar plays a crucial role in achieving highly automated driving. This review systematically summarizes the latest advancements and key applications of 4D mmWave radar in the field of autonomous driving. To begin with, we introduce the fundamental principles and technical features of 4D mmWave radar, delving into its comprehensive perception capabilities across distance, speed, angle, and time dimensions. Subsequently, we provide a detailed analysis of the performance advantages of 4D mmWave radar compared to other sensors in complex environments. We then discuss the latest developments in target detection and tracking using 4D mmWave radar, along with existing datasets in this domain. Finally, we explore the current technological challenges and future directions. This review offers researchers and engineers a comprehensive understanding of the cutting-edge technology and future development directions of 4D mmWave radar in the context of autonomous driving perception.

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用于自动驾驶感知的 4D 毫米波雷达：全面调查

自动驾驶技术的快速发展推动了感知系统的不断创新，而 4D 毫米波（mmWave）雷达则是关键的感知设备之一。4D 毫米波雷达凭借其全天候工作特性和在挑战性环境中的强大感知能力，在实现高度自动驾驶方面发挥着至关重要的作用。本综述系统地总结了 4D 毫米波雷达在自动驾驶领域的最新进展和关键应用。首先，我们介绍了 4D 毫米波雷达的基本原理和技术特点，深入探讨了其在距离、速度、角度和时间维度上的综合感知能力。随后，我们详细分析了 4D 毫米波雷达与其他传感器相比在复杂环境中的性能优势。然后，我们讨论了使用 4D 毫米波雷达进行目标探测和跟踪的最新进展，以及该领域的现有数据集。最后，我们探讨了当前的技术挑战和未来发展方向。这篇综述让研究人员和工程师全面了解了自动驾驶感知背景下 4D 毫米波雷达的前沿技术和未来发展方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization

CiteScore

12.10

自引率

13.40%

发文量

177

期刊介绍： The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.

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