4.6 Article

Millimeter Wave FMCW RADARs for Perception, Recognition and Localization in Automotive Applications: A Survey

期刊

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
卷 7, 期 3, 页码 533-555

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIV.2022.3167733

关键词

Radar; Chirp; Radar antennas; Radar applications; Reflection; Mixers; Millimeter wave radar; Automotive applications; learning (artificial intelligence); millimeter wave radar; radar detection; simultaneous localization and mapping

向作者/读者索取更多资源

Millimeter-wave FMCW RADARs have broad potential applications in automotive industry with improved accuracy and affordability. However, they have lower-density outputs and noise compared to other RADAR technologies, requiring specific algorithms for adaptation.
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are sensors based on frequency-modulated electromagnetic which see their environment in 3D at a long-range. The recent introduction of millimeter-wave RADARs with frequencies from 60 GHz to 300 GHz has broadened their potential applications thanks to their improved accuracy in angle, range, and velocity. MmWave FMCW RADARs have better resolution and accuracy than narrowband and ultra-wideband (UWB) RADARs. In comparison with cameras and LiDARs, they possess several strong advantages such as long-range perception, robustness to lightning, and weather conditions while being cheaper. However, their noisy and lower-density outputs even compared to other technologies of RADARs, and their ability to measure the targets' velocities require specific algorithms tailored for them. Working principles of mmWave FMCW RADARs are presented as well as the separate ways to represent data and their applications. This paper describes algorithms and applications adapted or developed for these sensors in automotive applications. Finally, current challenges and directions for future works are presented.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据