MMW Radar-Based Technologies in Autonomous Driving: A Review

With the rapid development of automated vehicles (AVs), more and more demands are proposed towards environmental perception. Among the commonly used sensors, MMW radar plays an important role due to its low cost, adaptability In different weather, and motion detection capability. Radar can provide different data types to satisfy requirements for various levels of autonomous driving. The objective of this study is to present an overview of the state-of-the-art radar-based technologies applied In AVs. Although several published research papers focus on MMW Radars for intelligent vehicles, no general survey on deep learning applied In radar data for autonomous vehicles exists. Therefore, the authors try to provide related survey In this paper. First, the authors introduce models and representations from millimeter-wave (MMW) radar data. Secondly, the authors present radar-based applications used on AVs. For low-level automated driving, radar data have been widely used In advanced driving-assistance systems (ADAS). For high-level automated driving, radar data is used In object detection, object tracking, motion prediction, and self-localization. Finally, the authors discuss the remaining challenges and future development direction of related studies.

• Record URL:
  https://www.mdpi.com/1424-8220/20/24/7283
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
• Supplemental Notes:
  • © 2020 Taohua Zhou et al.
• Authors:
  • Zhou, Taohua
  • Yang, Mengmeng
  • Jiang, Kun
  • Wong, Henry
  • Yang, Diange
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 7283
• Serial:
  • Sensors
  • Volume: 20
  • Issue Number: 24
  • Publisher: MDPI AG
  • ISSN: 1424-8220
  • Serial URL: http://www.mdpi.com/journal/sensors
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Driving; Intelligent vehicles; Millimeter wave devices; Radar; Reviews
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01762728
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 27 2021 9:55AM