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 d...
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doaj-4ca168e1e2ec46ba86bbcc3a3bff73162020-12-19T00:03:38ZengMDPI AGSensors1424-82202020-12-01207283728310.3390/s20247283MMW Radar-Based Technologies in Autonomous Driving: A ReviewTaohua Zhou0Mengmeng Yang1Kun Jiang2Henry Wong3Diange Yang4State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaWith 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, we try to provide related survey In this paper. First, we introduce models and representations from millimeter-wave (MMW) radar data. Secondly, we 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, we discuss the remaining challenges and future development direction of related studies.https://www.mdpi.com/1424-8220/20/24/7283MMW radarautonomous drivingenvironmental perceptionself-localization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Taohua Zhou Mengmeng Yang Kun Jiang Henry Wong Diange Yang |
spellingShingle |
Taohua Zhou Mengmeng Yang Kun Jiang Henry Wong Diange Yang MMW Radar-Based Technologies in Autonomous Driving: A Review Sensors MMW radar autonomous driving environmental perception self-localization |
author_facet |
Taohua Zhou Mengmeng Yang Kun Jiang Henry Wong Diange Yang |
author_sort |
Taohua Zhou |
title |
MMW Radar-Based Technologies in Autonomous Driving: A Review |
title_short |
MMW Radar-Based Technologies in Autonomous Driving: A Review |
title_full |
MMW Radar-Based Technologies in Autonomous Driving: A Review |
title_fullStr |
MMW Radar-Based Technologies in Autonomous Driving: A Review |
title_full_unstemmed |
MMW Radar-Based Technologies in Autonomous Driving: A Review |
title_sort |
mmw radar-based technologies in autonomous driving: a review |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2020-12-01 |
description |
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, we try to provide related survey In this paper. First, we introduce models and representations from millimeter-wave (MMW) radar data. Secondly, we 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, we discuss the remaining challenges and future development direction of related studies. |
topic |
MMW radar autonomous driving environmental perception self-localization |
url |
https://www.mdpi.com/1424-8220/20/24/7283 |
work_keys_str_mv |
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1724378082769371136 |